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A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++

OBJECTIVE: Radiomic and deep learning studies based on magnetic resonance imaging (MRI) of liver tumor are gradually increasing. Manual segmentation of normal hepatic tissue and tumor exhibits limitations. METHODS: 105 patients diagnosed with hepatocellular carcinoma were retrospectively studied bet...

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Detalles Bibliográficos
Autores principales:	Wang, Jing, Peng, Yanyang, Jing, Shi, Han, Lujun, Li, Tian, Luo, Junpeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623778/ https://www.ncbi.nlm.nih.gov/pubmed/37923988 http://dx.doi.org/10.1186/s12885-023-11432-x

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