Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

IMPORTANCE: For prostate cancer, Gleason grading of the biopsy specimen plays a pivotal role in determining case management. However, Gleason grading is associated with substantial interobserver variability, resulting in a need for decision support tools to improve the reproducibility of Gleason gra...

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Detalhes bibliográficos
Publicado no:JAMA Oncol
Main Authors: Nagpal, Kunal, Foote, Davis, Tan, Fraser, Liu, Yun, Chen, Po-Hsuan Cameron, Steiner, David F., Manoj, Naren, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Peterson, Brandon, Amin, Mahul B., Evans, Andrew J., Sweet, Joan W., Cheung, Carol, van der Kwast, Theodorus, Sangoi, Ankur R., Zhou, Ming, Allan, Robert, Humphrey, Peter A., Hipp, Jason D., Gadepalli, Krishna, Corrado, Greg S., Peng, Lily H., Stumpe, Martin C., Mermel, Craig H.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2020
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7378872/
https://ncbi.nlm.nih.gov/pubmed/32701148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaoncol.2020.2485
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