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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...

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Principais autores: Jianyu Wang, Shilu Zhao, Liuying Zhao, Furong Huang, Hao Wu, Da Pang
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2026-07-01
coleção:Frontiers in Oncology
Assuntos:
breast cancer
ductal carcinoma in situ
histological grading
machine learning
mammography
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fonc.2026.1762400/full
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