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Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets
PURPOSE: The authors are developing a computerized system for bladder segmentation in CT urography (CTU) as a critical component for computer-aided detection of bladder cancer. METHODS: A deep-learning convolutional neural network (DL-CNN) was trained to distinguish between the inside and the outsid...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4808067/ https://ncbi.nlm.nih.gov/pubmed/27036584 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4944498 |
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