Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-observer variability, which may result in suboptimal treatment of patients. With the introduction of digitization and whole-slide images of prostate biopsies, computer-aided grading becomes feasible....
| Publicado en: | Virchows Archiv: European Journal of Pathology Vol. 475; no. 1; pp. 77 - 84 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2019
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| Acceso en línea: | Ver este registro en EBSCOhost |