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PSNet: prostate segmentation on MRI based on a convolutional neural network
Automatic segmentation of the prostate on magnetic resonance images (MRI) has many applications in prostate cancer diagnosis and therapy. We proposed a deep fully convolutional neural network (CNN) to segment the prostate automatically. Our deep CNN model is trained end-to-end in a single learning s...
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| Publié dans: | J Med Imaging (Bellingham) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5771127/ https://ncbi.nlm.nih.gov/pubmed/29376105 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.021208 |
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