A machine learning based framework for assisting pathologists in grading and counting of breast cancer cells
Breast cancer normally occurs in the breast cells of both men and women, but is prominent in women. Computer aided detection increases the chance of early detection and diagnosis. This paper proposes a breast cancer detection method using Nuclear Atypia Scoring (NAS). The proposed cancer detection m...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/6bc1ccd293a04bb1b5726d71ee40e4b4 |
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