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Effect of domain knowledge encoding in CNN model architecture—a prostate cancer study using mpMRI images
BACKGROUND: Prostate cancer is one of the most common cancers worldwide. Currently, convolution neural networks (CNNs) are achieving remarkable success in various computer vision tasks, and in medical imaging research. Various CNN architectures and methodologies have been applied in the field of pro...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953869/ https://www.ncbi.nlm.nih.gov/pubmed/33732553 http://dx.doi.org/10.7717/peerj.11006 |