Deep learning models for histologic grading of breast cancer and association with disease prognosis

Histologic grading of breast cancer involves review and scoring of three well-established morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken together, these features form the basis of the Nottingham Grading System which is used to inform breast cancer characteriza...

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Detalles Bibliográficos
Autores principales: Jaroensri, Ronnachai, Wulczyn, Ellery, Hegde, Narayan, Brown, Trissia, Flament-Auvigne, Isabelle, Tan, Fraser, Cai, Yuannan, Nagpal, Kunal, Rakha, Emad A., Dabbs, David J., Olson, Niels, Wren, James H., Thompson, Elaine E., Seetao, Erik, Robinson, Carrie, Miao, Melissa, Beckers, Fabien, Corrado, Greg S., Peng, Lily H., Mermel, Craig H., Liu, Yun, Steiner, David F., Chen, Po-Hsuan Cameron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530224/
https://www.ncbi.nlm.nih.gov/pubmed/36192400
http://dx.doi.org/10.1038/s41523-022-00478-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530224/
https://www.ncbi.nlm.nih.gov/pubmed/36192400
http://dx.doi.org/10.1038/s41523-022-00478-y

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