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題名 全球醫學影像技術之研究熱點與我國研發資源投入分析
Investigating the Global Research Hotspots and National R&D Investment of Medical Image Technology
作者 曾怡仁
Tseng, I-Jen
貢獻者 李沛錞
Lee, Pei-Chun
曾怡仁
Tseng, I-Jen
關鍵詞 醫學影像技術
研究熱點
書目計量
研發資源投入
Medical image technology
Research Hotspots
Bibliometrics
R&D investment
日期 2021
上傳時間 4-Aug-2021 15:32:36 (UTC+8)
摘要   在知識經濟時代,研發資源的投入被視作知識資本,其具有累積效果,有效率的資源投入能夠以知識的累積、傳遞,進而到擴散,並且對於整個經濟體系產生正面效益。在醫學領域中,醫學影像應用於各科別,涵蓋之廣,我國政府在相關領域之資源投入並不少,但研發資源有限,因此需掌握國際動態之發展,以此針對我國醫學影像技術之長期發展進行佈局與資源投入之規劃。本研究擬透過分析全球醫學影像技術之研究熱點,進一步比對我國政府在過去於醫學影像技術之研發資源投入項目,已呈現全球與我國在醫學影像技術發展之脈絡與軌跡。
  在全球研究熱點之分析面向,本研究透過尋找醫學影像技術之研究熱點,亦即在全球醫學影像技術領域中,研究方向之熱門主題,用以呈現醫學影像技術在全球發展之趨勢;本研究以Scopus資料庫做為分析研究熱點之資料來源,並以「medical image」、「medical imaging」與「medical imagery」為檢索詞,限縮題名及關鍵字,將資料下載並進行整理與分析。我國研發資源投入面向,本研究透過追蹤相關科研計畫,以了解我國政府在醫學影像相關投入之資源分佈與計畫內涵,俾有助於後續推動計畫方向之擬訂;本研究以GRB系統資料庫做為研究資料來源,查詢醫學影像相關計畫之表現,檢索詞為「醫學影像」、「醫學成像」、「醫學造影」及「醫學圖像」,並將資料下載後再進行整理與分析。以前述兩面向所做之整理與分析之結果進行比對,探究全球研發趨勢與我國所投入之資源,並辨識兩者之異同,提供我國政府於醫學影像領域之研發資源投入策略建議,以期有限之資源能發揮最大化之效益。
Base on this knowledgeable economy generation that R&D investment is regarded as the capital of knowledge and has the accumulation effect. Using effective R&D investment can bring positive benefits to the entire economies through accumulation, transformation, and expansion. In medical domain, this study applies medical images in different divisions. Therefore, the government devotes a lot of effort on the related researches. Besides, the government needs to comprehend the global trend to plan long-term development and resource planning. This research analyzes global research hotspots in medical image technology, and furthermore, compares the influences of the past to the present from the research hotspots, which shows the global trend of medical image.
From a global research hotspots perspective, this research intends to identify research hotspots of medical image technology showing global development tendency. This study uses Scopus as the data source to capture research hotspots, choosing “medical image”, “medical imaging”, and “medical imagery”, as the search term, shortened title, and keyword. Downloads the data resources to analyze them. The government devotes resources to R&D investment, this research tracks the related science and technology programs to comprehend the minutiae of R&D investment in the medical image by the government. To contribute to formulate the R&D policy, this study chooses GRB as the data source, which takes “medical image” as in Chinese search terms. After that, downloads the data resources and analyzes them. To compare the research hotspots with R&D research investment and distinguishes the similarities and differences. Finally, suggestions on R&D investment are provided in order to acquire the largest benefits based on limited resource allocation.
參考文獻 一、中文部分
王山(2019)。研究前沿探測方法進展。情報科學,37(10),164-169。
王立學,冷伏海(2010)。簡論研究前沿及其文獻計量識別方法。情報理論與實踐,3,54-58。
冉偉靈,蘇成,趙筱媛(2017)。研究前沿識別方法比較與應用。中華醫學圖書情報雜誌,26(11),14-22。
石育賢(2020)。IEK360系列:美國產業趨勢與發展機會分析。IEK產業情報網。取自https://ieknet.iek.org.tw/iekppt/ppt_detail.aspx?actiontype=ppt&indu_idno=0&domain=78&sld_preid=6123
台灣經濟研究院(2021)。取自http://www.foresight-taiwan.org.tw/Default.aspx
安興茹(2014)。基於正態分布的詞頻分析法高頻詞閾值研究。情報雜誌,33(10),129-136。
江青芬(2014)。從2D到3D的醫學影像。科學發展,503,24-30。
朱啟華(2000)。應用研究。國家教育研究院雙語詞彙、學術名詞暨辭書資訊網。取自http://terms.naer.edu.tw/detail/1314864/
行政院原子能委員會(2019)。取自https://www.aec.gov.tw/
社團法人國家生技醫療產業策進會(2020)。2020年全球前10大醫療器材公司。社團法人國家生技醫療產業策進會。民110年6月21日,取自https://ibmi.taiwan-healthcare.org/news_detail.php?REFDOCTYPID=0o4dd9ctwhtyumw0&REFDOCID=0qm6ojpcmgdrus14
李三剛,黃樹棍,彭振興,溫嘉憲(1998)。超音波影像儲傳系統。秀傳醫學雜誌,1(1),5-11。
李育菁,蔣以仁(2010)。自動化電腦斷層影像品質分析。醫療資訊雜誌,19(3),47-64。
李爾芳(民109年1月29日)。MRI加速造影技術知產業應用現況與趨勢。經濟部技術處。民109年1月29日,取自https://www.moea.gov.tw/MNS/doit/bulletin/Bulletin.aspx?kind=4&html=1&menu_id=13553&bull_id=6748
李爾芳(2021)。人工智慧於放射醫學影像3D造影成像之應用。工研院產科國際所IT IS產業評析,取自https://www.itis.org.tw
冷靜(2020)。政府研發投入對企業R&D投入影響的實證研究——以工業水平為調節變量。科技和產業,20(8),60-64。
吳孟瑾(2010)。認識大學排名系列十—基本科學指標。國立交通大學圖書館,取自file:///C:/Users/judyp/Downloads/10a.pdf。
邱錦田(2017)。日本實現超智慧社會(社會5.0)之科技創新策略。科技政策觀點。
doi: 10.6916/STPIRP.2017-12-25
林文旆,朱鐵吉,王昭穎(2007)。磁振造影的生物效應及安全性。台灣應用輻射與同位素雜誌,3(4),379-383。
doi: 10.29832/TJARI.200712.0002
周安琪,胡健山,王基誠,陳素秋,詹雅婷(2018)。磁振造影檢查在子宮頸癌分期方面的應用。台灣應用輻射與同位素雜誌,14(4),1637-1645。
施宏謀、林士良、吳志仁(2012)。核子醫學掃描在腎臟之相關檢查與應用。腎臟與透析,24(1),15-21。
doi: 10.6340/KD.2012(1).03
唐清泉、高亮、李懿東(2011)。企業轉型升級與研發投入的外部環境研究——基於政治關係和市場化進程的視角。當代經濟管理,33(6),20-31。
陳仕吉(2009)。科學研究前沿探測方法綜述。現代圖書情報技術,(9),28-33。
陳綠蔚、郭博堯、左峻德、金惠珍、黃靜淑、陳潔儀(2019)。台灣醫療產業智慧化與國際化之機會與挑戰。台北:財團法人中技社。
許重輝、施崇鴻(2011)。正子斷層掃描及其在腫瘤學之應用。科儀新知,180,39-44。
doi: 10.29662/IT.201102.0004
張嘉彬(2016)。從研究方法角度探討研究前沿。大學圖書館,20(1),88-112。doi:10.6146/univj.20-1.05
國研院科技政策中心政府研究資訊系統(2020)。取自https://www.grb.gov.tw/
國研院科技政策中心政策研究指標庫(2021)。取自https://pride.stpi.narl.org.tw/index
黃慕萱(2014)。太陽光電之研究前沿、技術前沿及科學與技術互動之探討。科技部計畫(編號:NSC101-2410-H002-078-MY3),未出版。
傅柱、王曰芬、陳必坤(2016)。國內外知識流研究熱點:基於詞頻的統計分析。圖書館學研究,14,2-12。
資策會科技法律研究所(2019)。日本《科學技術指標》。取自https://stli.iii.org.tw/article-detail.aspx?no=67&tp=5&d=8364
經濟部智慧財產局(2020)。中華民國專利系統同義詞查詢。取自https://twpat6.tipo.gov.tw/tipotwoc/tipotwsyn?@@0.7269396206303718
楊玉齡(譯)(2000)。露骨—醫學造影檔案(原作者:Bettyann Holtzmann Kevles)。臺北市:天下遠見。(原著出版年:1997)
楊思洛、董嘉慧(2020)。國內外至慧圖書館研究熱點及發展趨勢探究。現代情報,(40)11,167-177。
劉英宏(民國97年6月25日)。PACS是現代醫學影像的發展趨勢。胸腔病院電子報。取自http://epaper.ccd.gov.tw/200806/p02_2.html
鄭慶明(2001)。實用影像診斷學。臺北市:俊傑。
蔡俊宇(2013)。醫學影像產業與專利佈局策略之探討(未出版之碩士論文)。國立臺灣科技大學專利研究所:臺北市。
賴致元(2019)。IEK360系列:由日本社會5.0看臺日產業合作機會。IEK產業情報網。取自https://ieknet.iek.org.tw/iekppt/ppt_detail.aspx?actiontype=ppt&indu_idno=0&domain=78&sld_preid=5769
魏淑媛,陳怡臻,郭洺銍,馬珮琪,張允中(2018)。乳癌磁振正子掃描的應用—病例報告。台灣應用輻射與同位素雜誌,14(3),1627-1630。
欒春娟、侯海燕、王賢文(2009)。國際科技政策研究熱點與前沿的可視化分析。科學學研究,27(2),240-243。

二、英文部分
Bansal, G. J. (2006). Digital radiography. A comparison with modern conventional imaging. Postgraduate medical journal, 82(969), 425-428. doi:10.1136/pgmj.2005.038448
Boston Scientific (2021). Retrieved June 23, 2021, from https://www.bostonscientific.com/en-US/Home.html
Canon Medical Systems. (2021). Retrieved June 21, 2021, from https://global.medical.canon/
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
doi:10.1002/asi.20317
Congressional Budget Office (2021). CBO Releases Infographics About the Federal Budget in Fiscal Year 2020. Retrieved June 28, 2021, from https://www.cbo.gov/system/files/2021-04/57170-budget-infographic.pdf
Croskerry, P. (2002). Achieving quality in clinical decision making: cognitive strategies and detection of bias. Academic Emergency Medicine, 9(11), 1184-1204.
De Solla Price, D. J. (1965). Networks of scientific papers. Science, 149(3683), 510-515.
Doi, K. (2004). Overview on research and development of computer-aided diagnostic schemes. In Seminars in Ultrasound, CT amd MRI, 25(5), 404-410.
Doi, K. (2006). Diagnostic imaging over the last 50 years: research and development in medical science and technology. Physics in Medicine & Biology, 51(13), R5.
Donohue, J. C. (1973). Understanding Scientific Literatures: A Bibliometric Approach. Cambridge, Massachusetts: The MIT Press.
Elsevier. (2018). Scopus Retrieved December 15, 2020, from https://www.elsevier.com/__data/assets/pdf_file/0009/818649/Scopus-Global-Research-Factsheet-A4-v2-HI-with-ticks_CH.pdf
Eugene, G. (1955). Citation Indexes for Science. Science, 122(3159), 108-111.
Fujifilm. (2021a). Notice Concerning the Completion Timing for the Acquisition of Hitachi’s Diagnostic Imaging-related Business. Retrieved June 20, 2021, from https://www.fujifilm.com/jp/en/news/hq/6058
Fujifilm. (2021b). FUJIFILM Holdings establishes new organizations for Healthcare, Imaging, and Graphic fields. Retrieved June 20, 2021, from https://holdings.fujifilm.com/en/news/list/1072
GE Healthcare. (2020a). Silicon Dreams: A Technological Breakthrough To Let Doctors Peer Inside The Body With Startling Clarity. Retrieved June 21, 2021, from https://www.ge.com/news/reports/silicon-dreams-a-technological-breakthrough-to-let-doctors-peer-inside-the-body-with
GE Healthcare. (2020b). Smarter Image: Deep Learning Software Is Changing the Game In Magnetic Resonance Imaging. Retrieved June 21, 2021, from https://www.ge.com/news/reports/smarter-image-deep-learning-software-is-changing-the-game-in-magnetic-resonance-imaging
Haus, A. G., & Cullinan, J. E. (1989). Screen film processing systems for medical radiography: a historical review. Radiographics, 9(6), 1203-1224.
Li-Hong Zhou, Yan Li, Qi Li. (2020). Research hotspot and frontier progress of cancer under the background of precision medicine. Traditional Medicine Research, 5(1), 22-33.
doi: 10.12032/TMR20190225101
Mahon, S. M. (1997). Comparison of methods for the early detection of breast cancer. Image: Journal of Nursing Scholarship, 29(3), 292.
McDonald, E. S., Mankoff, D. A., & Mach, R. H. (2016). Novel strategies for breast cancer imaging: new imaging agents to guide treatment. Journal of Nuclear Medicine, 57 (suppl 1), 69S-74S.
Metz, C. E. (2008). ROC analysis in medical imaging: a tutorial review of the literature. Radiological physics and technology, 1(1), 2-12.
Medical Startups. (2020, October 7). Top 53 Medical Imaging startups Retrieved October 9, 2020, from https://www.medicalstartups.org/top/medical-imaging/
NanoX. (2020, June 22). Nanox Enters Asia Pacific: Signs Strategic Agreement With Golden Vine International for the Deployment of 500 Nanox.ARC Systems in Taiwan and Singapore Retrieved October 28, 2020, from https://www.businesswire.com/news/home/20200622005372/en/Nanox-Enters-Asia-Pacific-Signs-Strategic-Agreement
Persson, O. (1994). The intellectual base and research fronts of JASIS 1986-1990. Journal of the American Society for Information Science, 45(1), 31-38.
Philips (2021). Philips SmartCT 3D image acquisition, visualization and measurement software for its Azurion Image Guided Therapy System receives FDA 510(k) clearance. June 21, 2021, Retrieved from https://www.usa.philips.com/a-w/about/news/archive/standard/news/press/2021/20210406-philips-smartct-3d-image-acquisition-visualization-and-measurement-software-for-its-azurion-image-guided-therapy-system-receives-fda-510k-clearance.html
Saito, N. (2014). Towards Evidence- based STI policy planning in socio- economic context, for OECD internation symposium on STI policy for the future, Japan.
Samsung (2021). June 22, 2021, Retrieved from https://www.samsunghealthcare.com/en
Scopus (2020). Retrieved from https://www.scopus.com/
Siemens Healthineers (2020). Siemens Healthineers moves into new clinical fields with its smallest and most lightweight whole-body MRI. June 20, 2021, Retrieved from https://www.corporate.siemens-healthineers.com/press/releases/magnetom-free-max.html
Siemens Healthineers (2021). Siemens Healthineers launches new CT scanner for fast diagnosis and precise interventions in demanding clinical areas. June 20, 2021, Retrieved from https://www.corporate.siemens-healthineers.com/press/releases/somatomxceed
Small, H. (1973). Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269.
Tang-Yun Xu, Hai-Ni Qu, San-Shan Zhao, Mei-Xia Zhang, Xiu Yang, XU-Yan Huang. (2017). The visualization analysis of research hotspot and frontier technology of the smart power distribution and utilization based on the cite space. Energy and Power Engineering, 9(04), 515-525.
doi: 10.4236/epe.2017.94B057
The Academy for Radiology & Biomedical Imaging Research (2019). 2019 A Year in Review. Retrieved from https://www.acadrad.org/wp-content/uploads/2020/09/annualreportfs.pdf
The Academy for Radiology & Biomedical Imaging Research (2021). 2021-2024 Strategic Roadmap: Advocate - Engage – Expand. Retrieved from https://www.acadrad.org/wp-content/uploads/2021/06/final-Academy-Strategic-Plan-2021-2024.pdf
The White House (2020). FY 2022 Administration Research and Development Budget Priorities. Retrieved from https://www.whitehouse.gov/wp-content/uploads/2020/08/M-20-29.pdf
World Health Organization (n.d.). Diagnostic imaging Retrieved October 28, 2020, from https://www.who.int/diagnostic_imaging/en/
Zúñiga‐Vicente, J. Á., Alonso‐Borrego, C., Forcadell, F. J., & Galán, J. I. (2014). Assessing the effect of public subsidies on firm R&D investment: a survey. Journal of Economic Surveys, 28(1), 36-67.
doi: 10.1111/j.1467-6419.2012.00738.x

三、德文部分
Bundesministerium für Bildung und Forschung (2018). Rahmenprogramm Gesundheitsforschung der Bundesregierung. Retrieved from https://www.bmbf.de/upload_filestore/pub/Rahmenprogramm_Gesundheitsforschung.pdf
Bundesministerium für Bildung und Forschung (2021). Gesundheitsforschung der Bundesregierung: Aufbruch mit einer starken Gesundheitsforschung. Retrieved from https://www.bmbf.de/upload_filestore/pub/Gesundheitsforschung_der_Bundesregierung.pdf
四、日文部分
日本科學技術與科學政策研究所(2019)。科學技術指標2019。取自https://www.nistep.go.jp/sti_indicator/2019/RM283_02.html
文部科學省(2020)。令和2年度科学技術関係予算案の概要。取自https://www.mext.go.jp/component/a_menu/science/detail/__icsFiles/afieldfile/2013/08/21/1338816_01.pdf
醫務局經濟科(2018)。2018年12月3日第二次創新醫療器械創新公私對話綱要。取自https://www.mhlw.go.jp/stf/shingi2/0000121607_00005.html

五、韓文部分
韓國健康產業振興院研發戰略組(2021)。2020년 보건의료 R&D 통계。取自file:///C:/Users/user/Downloads/%EB%B3%B4%EA%B1%B4%EC%9D%98%EB%A3%8CR&D%ED%86%B5%EA%B3%84(2020)_%EC%B5%9C%EC%A2%85.pdf
이진수、김수경(2021)。진단용 의료기기 산업 분석 및 정책 연구。取自https://www.khidi.or.kr/kps
描述 碩士
國立政治大學
圖書資訊與檔案學研究所
108155010
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108155010
資料類型 thesis
dc.contributor.advisor 李沛錞zh_TW
dc.contributor.advisor Lee, Pei-Chunen_US
dc.contributor.author (Authors) 曾怡仁zh_TW
dc.contributor.author (Authors) Tseng, I-Jenen_US
dc.creator (作者) 曾怡仁zh_TW
dc.creator (作者) Tseng, I-Jenen_US
dc.date (日期) 2021en_US
dc.date.accessioned 4-Aug-2021 15:32:36 (UTC+8)-
dc.date.available 4-Aug-2021 15:32:36 (UTC+8)-
dc.date.issued (上傳時間) 4-Aug-2021 15:32:36 (UTC+8)-
dc.identifier (Other Identifiers) G0108155010en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/136453-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 圖書資訊與檔案學研究所zh_TW
dc.description (描述) 108155010zh_TW
dc.description.abstract (摘要)   在知識經濟時代,研發資源的投入被視作知識資本,其具有累積效果,有效率的資源投入能夠以知識的累積、傳遞,進而到擴散,並且對於整個經濟體系產生正面效益。在醫學領域中,醫學影像應用於各科別,涵蓋之廣,我國政府在相關領域之資源投入並不少,但研發資源有限,因此需掌握國際動態之發展,以此針對我國醫學影像技術之長期發展進行佈局與資源投入之規劃。本研究擬透過分析全球醫學影像技術之研究熱點,進一步比對我國政府在過去於醫學影像技術之研發資源投入項目,已呈現全球與我國在醫學影像技術發展之脈絡與軌跡。
  在全球研究熱點之分析面向,本研究透過尋找醫學影像技術之研究熱點,亦即在全球醫學影像技術領域中,研究方向之熱門主題,用以呈現醫學影像技術在全球發展之趨勢;本研究以Scopus資料庫做為分析研究熱點之資料來源,並以「medical image」、「medical imaging」與「medical imagery」為檢索詞,限縮題名及關鍵字,將資料下載並進行整理與分析。我國研發資源投入面向,本研究透過追蹤相關科研計畫,以了解我國政府在醫學影像相關投入之資源分佈與計畫內涵,俾有助於後續推動計畫方向之擬訂;本研究以GRB系統資料庫做為研究資料來源,查詢醫學影像相關計畫之表現,檢索詞為「醫學影像」、「醫學成像」、「醫學造影」及「醫學圖像」,並將資料下載後再進行整理與分析。以前述兩面向所做之整理與分析之結果進行比對,探究全球研發趨勢與我國所投入之資源,並辨識兩者之異同,提供我國政府於醫學影像領域之研發資源投入策略建議,以期有限之資源能發揮最大化之效益。
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dc.description.abstract (摘要) Base on this knowledgeable economy generation that R&D investment is regarded as the capital of knowledge and has the accumulation effect. Using effective R&D investment can bring positive benefits to the entire economies through accumulation, transformation, and expansion. In medical domain, this study applies medical images in different divisions. Therefore, the government devotes a lot of effort on the related researches. Besides, the government needs to comprehend the global trend to plan long-term development and resource planning. This research analyzes global research hotspots in medical image technology, and furthermore, compares the influences of the past to the present from the research hotspots, which shows the global trend of medical image.
From a global research hotspots perspective, this research intends to identify research hotspots of medical image technology showing global development tendency. This study uses Scopus as the data source to capture research hotspots, choosing “medical image”, “medical imaging”, and “medical imagery”, as the search term, shortened title, and keyword. Downloads the data resources to analyze them. The government devotes resources to R&D investment, this research tracks the related science and technology programs to comprehend the minutiae of R&D investment in the medical image by the government. To contribute to formulate the R&D policy, this study chooses GRB as the data source, which takes “medical image” as in Chinese search terms. After that, downloads the data resources and analyzes them. To compare the research hotspots with R&D research investment and distinguishes the similarities and differences. Finally, suggestions on R&D investment are provided in order to acquire the largest benefits based on limited resource allocation.
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dc.description.tableofcontents 目次 i
表目次 ii
圖目次 iv
第一章 緒論 1
第一節  研究背景與動機 1
第二節  研究目的 9
第三節  研究問題 10
第四節  研究限制 11
第五節  名詞釋義 12
第二章 文獻探討 13
第一節 全球醫學影像技術發展 13
第二節 研究熱點之定義與應用發展 22
第三章 研究設計與實施 26
第一節 研究架構 26
第二節 研究設計 27
第三節 資料蒐集 28
第四節 資料處理與分析 34
第五節 研究步驟 37
第四章 研究結果 38
第一節  敘述統計 38
第二節  全球及我國醫學影像技術之研究熱點 42
第三節  我國醫學影像技術之研發資源投入 60
第五章 結論與建議 69
第一節  結論 69
第二節  建議 73
參考文獻 74
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dc.format.extent 3153054 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108155010en_US
dc.subject (關鍵詞) 醫學影像技術zh_TW
dc.subject (關鍵詞) 研究熱點zh_TW
dc.subject (關鍵詞) 書目計量zh_TW
dc.subject (關鍵詞) 研發資源投入zh_TW
dc.subject (關鍵詞) Medical image technologyen_US
dc.subject (關鍵詞) Research Hotspotsen_US
dc.subject (關鍵詞) Bibliometricsen_US
dc.subject (關鍵詞) R&D investmenten_US
dc.title (題名) 全球醫學影像技術之研究熱點與我國研發資源投入分析zh_TW
dc.title (題名) Investigating the Global Research Hotspots and National R&D Investment of Medical Image Technologyen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 一、中文部分
王山(2019)。研究前沿探測方法進展。情報科學,37(10),164-169。
王立學,冷伏海(2010)。簡論研究前沿及其文獻計量識別方法。情報理論與實踐,3,54-58。
冉偉靈,蘇成,趙筱媛(2017)。研究前沿識別方法比較與應用。中華醫學圖書情報雜誌,26(11),14-22。
石育賢(2020)。IEK360系列:美國產業趨勢與發展機會分析。IEK產業情報網。取自https://ieknet.iek.org.tw/iekppt/ppt_detail.aspx?actiontype=ppt&indu_idno=0&domain=78&sld_preid=6123
台灣經濟研究院(2021)。取自http://www.foresight-taiwan.org.tw/Default.aspx
安興茹(2014)。基於正態分布的詞頻分析法高頻詞閾值研究。情報雜誌,33(10),129-136。
江青芬(2014)。從2D到3D的醫學影像。科學發展,503,24-30。
朱啟華(2000)。應用研究。國家教育研究院雙語詞彙、學術名詞暨辭書資訊網。取自http://terms.naer.edu.tw/detail/1314864/
行政院原子能委員會(2019)。取自https://www.aec.gov.tw/
社團法人國家生技醫療產業策進會(2020)。2020年全球前10大醫療器材公司。社團法人國家生技醫療產業策進會。民110年6月21日,取自https://ibmi.taiwan-healthcare.org/news_detail.php?REFDOCTYPID=0o4dd9ctwhtyumw0&REFDOCID=0qm6ojpcmgdrus14
李三剛,黃樹棍,彭振興,溫嘉憲(1998)。超音波影像儲傳系統。秀傳醫學雜誌,1(1),5-11。
李育菁,蔣以仁(2010)。自動化電腦斷層影像品質分析。醫療資訊雜誌,19(3),47-64。
李爾芳(民109年1月29日)。MRI加速造影技術知產業應用現況與趨勢。經濟部技術處。民109年1月29日,取自https://www.moea.gov.tw/MNS/doit/bulletin/Bulletin.aspx?kind=4&html=1&menu_id=13553&bull_id=6748
李爾芳(2021)。人工智慧於放射醫學影像3D造影成像之應用。工研院產科國際所IT IS產業評析,取自https://www.itis.org.tw
冷靜(2020)。政府研發投入對企業R&D投入影響的實證研究——以工業水平為調節變量。科技和產業,20(8),60-64。
吳孟瑾(2010)。認識大學排名系列十—基本科學指標。國立交通大學圖書館,取自file:///C:/Users/judyp/Downloads/10a.pdf。
邱錦田(2017)。日本實現超智慧社會(社會5.0)之科技創新策略。科技政策觀點。
doi: 10.6916/STPIRP.2017-12-25
林文旆,朱鐵吉,王昭穎(2007)。磁振造影的生物效應及安全性。台灣應用輻射與同位素雜誌,3(4),379-383。
doi: 10.29832/TJARI.200712.0002
周安琪,胡健山,王基誠,陳素秋,詹雅婷(2018)。磁振造影檢查在子宮頸癌分期方面的應用。台灣應用輻射與同位素雜誌,14(4),1637-1645。
施宏謀、林士良、吳志仁(2012)。核子醫學掃描在腎臟之相關檢查與應用。腎臟與透析,24(1),15-21。
doi: 10.6340/KD.2012(1).03
唐清泉、高亮、李懿東(2011)。企業轉型升級與研發投入的外部環境研究——基於政治關係和市場化進程的視角。當代經濟管理,33(6),20-31。
陳仕吉(2009)。科學研究前沿探測方法綜述。現代圖書情報技術,(9),28-33。
陳綠蔚、郭博堯、左峻德、金惠珍、黃靜淑、陳潔儀(2019)。台灣醫療產業智慧化與國際化之機會與挑戰。台北:財團法人中技社。
許重輝、施崇鴻(2011)。正子斷層掃描及其在腫瘤學之應用。科儀新知,180,39-44。
doi: 10.29662/IT.201102.0004
張嘉彬(2016)。從研究方法角度探討研究前沿。大學圖書館,20(1),88-112。doi:10.6146/univj.20-1.05
國研院科技政策中心政府研究資訊系統(2020)。取自https://www.grb.gov.tw/
國研院科技政策中心政策研究指標庫(2021)。取自https://pride.stpi.narl.org.tw/index
黃慕萱(2014)。太陽光電之研究前沿、技術前沿及科學與技術互動之探討。科技部計畫(編號:NSC101-2410-H002-078-MY3),未出版。
傅柱、王曰芬、陳必坤(2016)。國內外知識流研究熱點:基於詞頻的統計分析。圖書館學研究,14,2-12。
資策會科技法律研究所(2019)。日本《科學技術指標》。取自https://stli.iii.org.tw/article-detail.aspx?no=67&tp=5&d=8364
經濟部智慧財產局(2020)。中華民國專利系統同義詞查詢。取自https://twpat6.tipo.gov.tw/tipotwoc/tipotwsyn?@@0.7269396206303718
楊玉齡(譯)(2000)。露骨—醫學造影檔案(原作者:Bettyann Holtzmann Kevles)。臺北市:天下遠見。(原著出版年:1997)
楊思洛、董嘉慧(2020)。國內外至慧圖書館研究熱點及發展趨勢探究。現代情報,(40)11,167-177。
劉英宏(民國97年6月25日)。PACS是現代醫學影像的發展趨勢。胸腔病院電子報。取自http://epaper.ccd.gov.tw/200806/p02_2.html
鄭慶明(2001)。實用影像診斷學。臺北市:俊傑。
蔡俊宇(2013)。醫學影像產業與專利佈局策略之探討(未出版之碩士論文)。國立臺灣科技大學專利研究所:臺北市。
賴致元(2019)。IEK360系列:由日本社會5.0看臺日產業合作機會。IEK產業情報網。取自https://ieknet.iek.org.tw/iekppt/ppt_detail.aspx?actiontype=ppt&indu_idno=0&domain=78&sld_preid=5769
魏淑媛,陳怡臻,郭洺銍,馬珮琪,張允中(2018)。乳癌磁振正子掃描的應用—病例報告。台灣應用輻射與同位素雜誌,14(3),1627-1630。
欒春娟、侯海燕、王賢文(2009)。國際科技政策研究熱點與前沿的可視化分析。科學學研究,27(2),240-243。

二、英文部分
Bansal, G. J. (2006). Digital radiography. A comparison with modern conventional imaging. Postgraduate medical journal, 82(969), 425-428. doi:10.1136/pgmj.2005.038448
Boston Scientific (2021). Retrieved June 23, 2021, from https://www.bostonscientific.com/en-US/Home.html
Canon Medical Systems. (2021). Retrieved June 21, 2021, from https://global.medical.canon/
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
doi:10.1002/asi.20317
Congressional Budget Office (2021). CBO Releases Infographics About the Federal Budget in Fiscal Year 2020. Retrieved June 28, 2021, from https://www.cbo.gov/system/files/2021-04/57170-budget-infographic.pdf
Croskerry, P. (2002). Achieving quality in clinical decision making: cognitive strategies and detection of bias. Academic Emergency Medicine, 9(11), 1184-1204.
De Solla Price, D. J. (1965). Networks of scientific papers. Science, 149(3683), 510-515.
Doi, K. (2004). Overview on research and development of computer-aided diagnostic schemes. In Seminars in Ultrasound, CT amd MRI, 25(5), 404-410.
Doi, K. (2006). Diagnostic imaging over the last 50 years: research and development in medical science and technology. Physics in Medicine & Biology, 51(13), R5.
Donohue, J. C. (1973). Understanding Scientific Literatures: A Bibliometric Approach. Cambridge, Massachusetts: The MIT Press.
Elsevier. (2018). Scopus Retrieved December 15, 2020, from https://www.elsevier.com/__data/assets/pdf_file/0009/818649/Scopus-Global-Research-Factsheet-A4-v2-HI-with-ticks_CH.pdf
Eugene, G. (1955). Citation Indexes for Science. Science, 122(3159), 108-111.
Fujifilm. (2021a). Notice Concerning the Completion Timing for the Acquisition of Hitachi’s Diagnostic Imaging-related Business. Retrieved June 20, 2021, from https://www.fujifilm.com/jp/en/news/hq/6058
Fujifilm. (2021b). FUJIFILM Holdings establishes new organizations for Healthcare, Imaging, and Graphic fields. Retrieved June 20, 2021, from https://holdings.fujifilm.com/en/news/list/1072
GE Healthcare. (2020a). Silicon Dreams: A Technological Breakthrough To Let Doctors Peer Inside The Body With Startling Clarity. Retrieved June 21, 2021, from https://www.ge.com/news/reports/silicon-dreams-a-technological-breakthrough-to-let-doctors-peer-inside-the-body-with
GE Healthcare. (2020b). Smarter Image: Deep Learning Software Is Changing the Game In Magnetic Resonance Imaging. Retrieved June 21, 2021, from https://www.ge.com/news/reports/smarter-image-deep-learning-software-is-changing-the-game-in-magnetic-resonance-imaging
Haus, A. G., & Cullinan, J. E. (1989). Screen film processing systems for medical radiography: a historical review. Radiographics, 9(6), 1203-1224.
Li-Hong Zhou, Yan Li, Qi Li. (2020). Research hotspot and frontier progress of cancer under the background of precision medicine. Traditional Medicine Research, 5(1), 22-33.
doi: 10.12032/TMR20190225101
Mahon, S. M. (1997). Comparison of methods for the early detection of breast cancer. Image: Journal of Nursing Scholarship, 29(3), 292.
McDonald, E. S., Mankoff, D. A., & Mach, R. H. (2016). Novel strategies for breast cancer imaging: new imaging agents to guide treatment. Journal of Nuclear Medicine, 57 (suppl 1), 69S-74S.
Metz, C. E. (2008). ROC analysis in medical imaging: a tutorial review of the literature. Radiological physics and technology, 1(1), 2-12.
Medical Startups. (2020, October 7). Top 53 Medical Imaging startups Retrieved October 9, 2020, from https://www.medicalstartups.org/top/medical-imaging/
NanoX. (2020, June 22). Nanox Enters Asia Pacific: Signs Strategic Agreement With Golden Vine International for the Deployment of 500 Nanox.ARC Systems in Taiwan and Singapore Retrieved October 28, 2020, from https://www.businesswire.com/news/home/20200622005372/en/Nanox-Enters-Asia-Pacific-Signs-Strategic-Agreement
Persson, O. (1994). The intellectual base and research fronts of JASIS 1986-1990. Journal of the American Society for Information Science, 45(1), 31-38.
Philips (2021). Philips SmartCT 3D image acquisition, visualization and measurement software for its Azurion Image Guided Therapy System receives FDA 510(k) clearance. June 21, 2021, Retrieved from https://www.usa.philips.com/a-w/about/news/archive/standard/news/press/2021/20210406-philips-smartct-3d-image-acquisition-visualization-and-measurement-software-for-its-azurion-image-guided-therapy-system-receives-fda-510k-clearance.html
Saito, N. (2014). Towards Evidence- based STI policy planning in socio- economic context, for OECD internation symposium on STI policy for the future, Japan.
Samsung (2021). June 22, 2021, Retrieved from https://www.samsunghealthcare.com/en
Scopus (2020). Retrieved from https://www.scopus.com/
Siemens Healthineers (2020). Siemens Healthineers moves into new clinical fields with its smallest and most lightweight whole-body MRI. June 20, 2021, Retrieved from https://www.corporate.siemens-healthineers.com/press/releases/magnetom-free-max.html
Siemens Healthineers (2021). Siemens Healthineers launches new CT scanner for fast diagnosis and precise interventions in demanding clinical areas. June 20, 2021, Retrieved from https://www.corporate.siemens-healthineers.com/press/releases/somatomxceed
Small, H. (1973). Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269.
Tang-Yun Xu, Hai-Ni Qu, San-Shan Zhao, Mei-Xia Zhang, Xiu Yang, XU-Yan Huang. (2017). The visualization analysis of research hotspot and frontier technology of the smart power distribution and utilization based on the cite space. Energy and Power Engineering, 9(04), 515-525.
doi: 10.4236/epe.2017.94B057
The Academy for Radiology & Biomedical Imaging Research (2019). 2019 A Year in Review. Retrieved from https://www.acadrad.org/wp-content/uploads/2020/09/annualreportfs.pdf
The Academy for Radiology & Biomedical Imaging Research (2021). 2021-2024 Strategic Roadmap: Advocate - Engage – Expand. Retrieved from https://www.acadrad.org/wp-content/uploads/2021/06/final-Academy-Strategic-Plan-2021-2024.pdf
The White House (2020). FY 2022 Administration Research and Development Budget Priorities. Retrieved from https://www.whitehouse.gov/wp-content/uploads/2020/08/M-20-29.pdf
World Health Organization (n.d.). Diagnostic imaging Retrieved October 28, 2020, from https://www.who.int/diagnostic_imaging/en/
Zúñiga‐Vicente, J. Á., Alonso‐Borrego, C., Forcadell, F. J., & Galán, J. I. (2014). Assessing the effect of public subsidies on firm R&D investment: a survey. Journal of Economic Surveys, 28(1), 36-67.
doi: 10.1111/j.1467-6419.2012.00738.x

三、德文部分
Bundesministerium für Bildung und Forschung (2018). Rahmenprogramm Gesundheitsforschung der Bundesregierung. Retrieved from https://www.bmbf.de/upload_filestore/pub/Rahmenprogramm_Gesundheitsforschung.pdf
Bundesministerium für Bildung und Forschung (2021). Gesundheitsforschung der Bundesregierung: Aufbruch mit einer starken Gesundheitsforschung. Retrieved from https://www.bmbf.de/upload_filestore/pub/Gesundheitsforschung_der_Bundesregierung.pdf
四、日文部分
日本科學技術與科學政策研究所(2019)。科學技術指標2019。取自https://www.nistep.go.jp/sti_indicator/2019/RM283_02.html
文部科學省(2020)。令和2年度科学技術関係予算案の概要。取自https://www.mext.go.jp/component/a_menu/science/detail/__icsFiles/afieldfile/2013/08/21/1338816_01.pdf
醫務局經濟科(2018)。2018年12月3日第二次創新醫療器械創新公私對話綱要。取自https://www.mhlw.go.jp/stf/shingi2/0000121607_00005.html

五、韓文部分
韓國健康產業振興院研發戰略組(2021)。2020년 보건의료 R&D 통계。取自file:///C:/Users/user/Downloads/%EB%B3%B4%EA%B1%B4%EC%9D%98%EB%A3%8CR&D%ED%86%B5%EA%B3%84(2020)_%EC%B5%9C%EC%A2%85.pdf
이진수、김수경(2021)。진단용 의료기기 산업 분석 및 정책 연구。取自https://www.khidi.or.kr/kps
zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202101142en_US