A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images

PURPOSE: To compare a deep learning model with a radiomics model in differentiating high-grade (LR-3, LR-4, LR-5) liver imaging reporting and data system (LI-RADS) liver tumors from low-grade (LR-1, LR-2) LI-RADS tumors based on the contrast-enhanced magnetic resonance images. METHODS: Magnetic reso...

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Detalles Bibliográficos
Autores principales: Du, Lixin, Yuan, Jianpeng, Gan, Meng, Li, Zhigang, Wang, Pan, Hou, Zujun, Wang, Cong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753333/
https://www.ncbi.nlm.nih.gov/pubmed/36517762
http://dx.doi.org/10.1186/s12880-022-00946-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753333/
https://www.ncbi.nlm.nih.gov/pubmed/36517762
http://dx.doi.org/10.1186/s12880-022-00946-8

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