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Radiomics for Gleason Score Detection through Deep Learning
Prostate cancer is classified into different stages, each stage is related to a different Gleason score. The labeling of a diagnosed prostate cancer is a task usually performed by radiologists. In this paper we propose a deep architecture, based on several convolutional layers, aimed to automaticall...
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| Publicado en: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570598/ https://ncbi.nlm.nih.gov/pubmed/32967291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185411 |
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