Identification of Luminal A breast cancer by using deep learning analysis based on multi-modal images

PURPOSE: To evaluate the diagnostic performance of a deep learning model based on multi-modal images in identifying molecular subtype of breast cancer. MATERIALS AND METHODS: A total of 158 breast cancer patients (170 lesions, median age, 50.8 ± 11.0 years), including 78 Luminal A subtype and 92 non...

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Detalles Bibliográficos
Autores principales: Liu, Menghan, Zhang, Shuai, Du, Yanan, Zhang, Xiaodong, Wang, Dawei, Ren, Wanqing, Sun, Jingxiang, Yang, Shiwei, Zhang, Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691590/
https://www.ncbi.nlm.nih.gov/pubmed/38044991
http://dx.doi.org/10.3389/fonc.2023.1243126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691590/
https://www.ncbi.nlm.nih.gov/pubmed/38044991
http://dx.doi.org/10.3389/fonc.2023.1243126

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