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Deep learning and level set approach for liver and tumor segmentation from CT scans
PURPOSE: Segmentation of liver organ and tumors from computed tomography (CT) scans is an important task for hepatic surgical planning. Manual segmentation of liver and tumors is tedious, time‐consuming, and biased to the clinician experience. Therefore, automatic segmentation of liver and tumors is...
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| Publicado no: | J Appl Clin Med Phys |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592966/ https://ncbi.nlm.nih.gov/pubmed/33113290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/acm2.13003 |
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