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First-Stage Prostate Cancer Identification on Histopathological Images: Hand-Driven versus Automatic Learning
Analysis of histopathological image supposes the most reliable procedure to identify prostate cancer. Most studies try to develop computer aid-systems to face the Gleason grading problem. On the contrary, we delve into the discrimination between healthy and cancerous tissues in its earliest stage, o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514840/ https://www.ncbi.nlm.nih.gov/pubmed/33267070 http://dx.doi.org/10.3390/e21040356 |