Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning

Molecular subtypes of breast cancer are important references to personalized clinical treatment. For cost and labor savings, only one of the patient’s paraffin blocks is usually selected for subsequent immunohistochemistry (IHC) to obtain molecular subtypes. Inevitable block sampling error is risky...

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Detalles Bibliográficos
Autores principales: Liu, Hong, Xu, Wen-Dong, Shang, Zi-Hao, Wang, Xiang-Dong, Zhou, Hai-Yan, Ma, Ke-Wen, Zhou, Huan, Qi, Jia-Lin, Jiang, Jia-Rui, Tan, Li-Lan, Zeng, Hui-Min, Cai, Hui-Juan, Wang, Kuan-Song, Qian, Yue-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046851/
https://www.ncbi.nlm.nih.gov/pubmed/35494021
http://dx.doi.org/10.3389/fonc.2022.858453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046851/
https://www.ncbi.nlm.nih.gov/pubmed/35494021
http://dx.doi.org/10.3389/fonc.2022.858453

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