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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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Detalles Bibliográficos
Autor principal: Alirr, Omar Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592966/
https://www.ncbi.nlm.nih.gov/pubmed/33113290
http://dx.doi.org/10.1002/acm2.13003