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Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI
In this paper, we present an evaluation of four encoder–decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed for the segmentation of road scene, biomedical, a...
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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/PMC7309110/ https://ncbi.nlm.nih.gov/pubmed/32503330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20113183 |
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