Computer-aided diagnosis of breast cancer using cytological images: A systematic review
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- 作者：Monjoy Sahaa ; Rashmi Mukherjeeb ; rashmikgpiit@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Chandan Chakrabortya
- 关键词：A ; accuracy ; BC ; breast cancer ; CAD ; computer-aided diagnosis ; CWC ; core wash cytology ; FNAC ; fine needle aspiration cytology ; FNR ; false negative rate ; FPR ; false positive rate ; GLCM ; grey-level co-occurrence matrices ; GLRLM ; gray-level run-length matrix ; H&E ; hematoxylin and eosin ; IC ; imprint cytology ; IHC ; immunohistochemistry ; MCWC ; modified core wash cytology ; MGG ; may-grü ; nwald-giemsa ; MIA ; medical image analysis ; NGS ; nottingham grading system ; NPV ; negative predictive value ; PAP ; pa
- 刊名：Tissue and Cell
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：48
- 期：5
- 页码：461-474
- 全文大小：2409 K
文摘
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We reviewed breast FNAC & imprint cytology automatic and manual imaging techniques.
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Automatic imaging of FNAC and imprint cytology images increases accuracy.
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Automatic detection of micrometastatic disease is a substantial area for improvement.
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Automatic detection of overlapping nucleus is another area for improvement.