Deep Learning Techniques for Prostate Cancer Analysis and Detection: Survey of the State of the Art
The human interpretation of medical images, especially for the detection of cancer in the prostate, has traditionally been a time-consuming and challenging process. Manual examination for the detection of prostate cancer is not only time-consuming but also prone to errors, carrying the risk of an ex...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-07-01
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| Col·lecció: | Journal of Imaging |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2313-433X/11/8/254 |
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