Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

BACKGROUND: Breast cancer subtyping is a crucial step in determining therapeutic options, but the molecular examination based on immunohistochemical staining is expensive and time-consuming. Deep learning opens up the possibility to predict the subtypes based on the morphological information from he...

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Detalles Bibliográficos
Autores principales: Bae, Kideog, Jeon, Young Seok, Hwangbo, Yul, Yoo, Chong Woo, Han, Nayoung, Feng, Mengling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509735/
https://www.ncbi.nlm.nih.gov/pubmed/37669090
http://dx.doi.org/10.2196/45547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509735/
https://www.ncbi.nlm.nih.gov/pubmed/37669090
http://dx.doi.org/10.2196/45547

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