An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading

Pathologic examination of prostate biopsies is time consuming due to the large number of slides per case. In this retrospective study, we validate a deep learning-based classifier for prostate cancer (PCA) detection and Gleason grading (AI tool) in biopsy samples. Five external cohorts of patients w...

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Detalles Bibliográficos
Autores principales: Tolkach, Yuri, Ovtcharov, Vlado, Pryalukhin, Alexey, Eich, Marie-Lisa, Gaisa, Nadine Therese, Braun, Martin, Radzhabov, Abdukhamid, Quaas, Alexander, Hammerer, Peter, Dellmann, Ansgar, Hulla, Wolfgang, Haffner, Michael C., Reis, Henning, Fahoum, Ibrahim, Samarska, Iryna, Borbat, Artem, Pham, Hoa, Heidenreich, Axel, Klein, Sebastian, Netto, George, Caie, Peter, Buettner, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427608/
https://www.ncbi.nlm.nih.gov/pubmed/37582946
http://dx.doi.org/10.1038/s41698-023-00424-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427608/
https://www.ncbi.nlm.nih.gov/pubmed/37582946
http://dx.doi.org/10.1038/s41698-023-00424-6

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