Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors

BACKGROUND: To develop a deep learning (DL) method based on multiphase, contrast-enhanced (CE) magnetic resonance imaging (MRI) to distinguish Liver Imaging Reporting and Data System (LI-RADS) grade 3 (LR-3) liver tumors from combined higher-grades 4 and 5 (LR-4/LR-5) tumors for hepatocellular carci...

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Detalles Bibliográficos
Autores principales: Wu, Yunan, White, Gregory M., Cornelius, Tyler, Gowdar, Indraneel, Ansari, Mohammad H., Supanich, Mark P., Deng, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article on Medical Artificial Intelligent Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327307/
https://www.ncbi.nlm.nih.gov/pubmed/32617321
http://dx.doi.org/10.21037/atm.2019.12.151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327307/
https://www.ncbi.nlm.nih.gov/pubmed/32617321
http://dx.doi.org/10.21037/atm.2019.12.151

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