Clinically-inspired automatic classification of ovarian carcinoma subtypes.

Aïcha BenTaieb,Masoud S Nosrati,Hector Li-Chang,David Huntsman,Ghassan Hamarneh

Journal of pathology informatics（2016）

引用 5|浏览17

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摘要

Our results from this first study highlight the difficulty of ovarian carcinoma diagnosis which originate from the intrinsic class-imbalance observed among subtypes and suggest that the automatic analysis of ovarian carcinoma subtypes could be valuable to clinician's diagnostic procedure by providing a second opinion.

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Computer-aided diagnosis,machine learning,ovarian carcinoma

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