Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/126318
DC Field | Value | Language |
---|---|---|
dc.contributor | 圖檔所 | - |
dc.creator | 羅崇銘 | - |
dc.creator | Lo*, Chung-Ming | - |
dc.creator | Feng, Po-Hao | - |
dc.creator | Lin, Yin-Tzu | - |
dc.date | 2018-01 | - |
dc.date.accessioned | 2019-09-19T01:53:26Z | - |
dc.date.available | 2019-09-19T01:53:26Z | - |
dc.date.issued | 2019-09-19T01:53:26Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/126318 | - |
dc.description.abstract | Purpose: Bronchoscopy is useful in lung cancer detection, but cannot be used to differentiate cancer types. A computer-aided diagnosis (CAD) system was proposed to distinguish malignant cancer types to achieve objective diagnoses. Methods: Bronchoscopic images of 12 adenocarcinoma and 10 squamous cell carcinoma patients were collected. The images were transformed from a red–blue–green (RGB) to a hue–saturation–value (HSV) color space to obtain more meaningful color textures. By combining significant textural features (P < 0.05) in a machine learning classifier, a prediction model of malignant types was established. Results: The performance of the CAD system achieved an accuracy of 86% (19/22), a sensitivity of 90% (9/10), a specificity of 83% (10/12), a positive predictive value of 82% (9/11), and a negative predictive value of 91% (10/11) in distinguishing lung cancer types. The area under the receiver operating characteristic curve was 0.82. Conclusions: On the basis of extracted HSV textures of bronchoscopic images, the CAD system can provide recommendations for clinical diagnoses of lung cancer types. | - |
dc.format.extent | 108 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation | Medical Physics, Vol.45, No.12, pp.5509 | - |
dc.subject | bronchoscopy; color texture; computer-aided diagnosis; lung cancer | - |
dc.title | A Machine Learning Texture Model for Classifying Lung Cancer Subtypes Using Preliminary Bronchoscopic Findings | - |
dc.type | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | restricted | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
index.html | 108 B | HTML2 | View/Open | |
20.pdf | post-print version | 518.6 kB | Adobe PDF2 | View/Open |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.