Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/126231
DC FieldValueLanguage
dc.contributor圖檔所
dc.creator羅崇銘
dc.creatorLo*, Chung-Ming
dc.creatorChang*, Ruey-Feng
dc.date2018-01
dc.date.accessioned2019-09-19T01:45:52Z-
dc.date.available2019-09-19T01:45:52Z-
dc.date.issued2019-09-19T01:45:52Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/126231-
dc.description.abstractEarly breast cancer diagnosis improves prognosis of patients. However, the reviewing of image ultrasound is operator-dependent. Computer-aided diagnosis (CAD) systems as the helper for radiologists were proposed to reduce oversight error and increase cancer diagnosis rate.
dc.format.extent175 bytes-
dc.format.mimetypetext/html-
dc.relationIntelligent decision support systems for diagnosis of medical images. Intelligent Systems Reference Library, Springer, pp.165-191
dc.titleIntelligent diagnosis of breast cancer based on quantitative B-mode and elastography features
dc.typebook
item.openairecristypehttp://purl.org/coar/resource_type/c_2f33-
item.fulltextWith Fulltext-
item.openairetypebook-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
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