Cargando…
Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods
One of the most precise methods to detect prostate cancer is by evaluation of a stained biopsy by a pathologist under a microscope. Regions of the tissue are assessed and graded according to the observed histological pattern. However, this is not only laborious, but also relies on the experience of...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182297/ https://www.ncbi.nlm.nih.gov/pubmed/35679280 http://dx.doi.org/10.1371/journal.pone.0267714 |