Prediction of histological grading in ductal carcinoma in situ based on mammographic signs and clinical information using machine learning models
ObjectiveThis study aims to investigate the feasibility of constructing machine learning models based on mammographic signs and clinical information to predict histological grading in ductal carcinoma in situ (DCIS) of the breast.MethodsA retrospective analysis was conducted on mammographic signs an...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2026-07-01
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| Seri Bilgileri: | Frontiers in Oncology |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/fonc.2026.1762400/full |
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