Article

Nuclear Morphology Optimized Deep Hybrid Learning (NUMODRIL) For Accurate Diagnosis and Prognosis of Ovarian Cancer

2021-01-20

Abstract excerpt

Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyse the malignant potential of cancer cells. Considering the structural alteration of nucleus in cancer cells, various groups have developed machine learning techniques based on variation in nuclear morphometric information like nuclear shape, size, nucleus-cytoplasm ratio and various non...

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Literature Corpus work: 436b91df-3e94-56e0-93cd-e5cf233ef0be
DOI: 10.21203/rs.3.rs-148149/v1

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