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...

Descripción completa

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

Internet

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

Ejemplares similares