Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling

PURPOSE: The present study aimed to assign a risk score for breast cancer recurrence based on pathological whole slide images (WSIs) using a deep learning model. METHODS: A total of 233 WSIs from 138 breast cancer patients were assigned either a low-risk or a high-risk score based on a 70-gene signa...

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Detalles Bibliográficos
Autores principales: Phan, Nam Nhut, Hsu, Chih-Yi, Huang, Chi-Cheng, Tseng, Ling-Ming, Chuang, Eric Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567097/
https://www.ncbi.nlm.nih.gov/pubmed/34745954
http://dx.doi.org/10.3389/fonc.2021.734015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567097/
https://www.ncbi.nlm.nih.gov/pubmed/34745954
http://dx.doi.org/10.3389/fonc.2021.734015

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