Breast Invasive Ductal Carcinoma Classification on Whole Slide Images with Weakly-Supervised and Transfer Learning

SIMPLE SUMMARY: In this study, we have trained deep learning models using transfer learning and weakly-supervised learning for the classification of breast invasive ductal carcinoma (IDC) in whole slide images (WSIs). We evaluated the models on four test sets: one biopsy (n = 522) and three surgical...

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Detalles Bibliográficos
Autores principales: Kanavati, Fahdi, Tsuneki, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582388/
https://www.ncbi.nlm.nih.gov/pubmed/34771530
http://dx.doi.org/10.3390/cancers13215368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582388/
https://www.ncbi.nlm.nih.gov/pubmed/34771530
http://dx.doi.org/10.3390/cancers13215368

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