Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

BACKGROUND: Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an o...

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Detalles Bibliográficos
Autores principales: Wulczyn, Ellery, Nagpal, Kunal, Symonds, Matthew, Moran, Melissa, Plass, Markus, Reihs, Robert, Nader, Farah, Tan, Fraser, Cai, Yuannan, Brown, Trissia, Flament-Auvigne, Isabelle, Amin, Mahul B., Stumpe, Martin C., Müller, Heimo, Regitnig, Peter, Holzinger, Andreas, Corrado, Greg S., Peng, Lily H., Chen, Po-Hsuan Cameron, Steiner, David F., Zatloukal, Kurt, Liu, Yun, Mermel, Craig H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053226/
https://www.ncbi.nlm.nih.gov/pubmed/35602201
http://dx.doi.org/10.1038/s43856-021-00005-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053226/
https://www.ncbi.nlm.nih.gov/pubmed/35602201
http://dx.doi.org/10.1038/s43856-021-00005-3

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