Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Tumor recurrence affects up to 70% of early-stage hepatocellular carcinoma (HCC) patients, depending on treatment option. Deep learning algorithms allow in-depth exploration of imaging data to discover imaging features that may be predictive of recurrence. This study explored the use of convolutiona...

Descripción completa

Detalles Bibliográficos
Autores principales: Kucukkaya, Ahmet Said, Zeevi, Tal, Chai, Nathan Xianming, Raju, Rajiv, Haider, Stefan Philipp, Elbanan, Mohamed, Petukhova-Greenstein, Alexandra, Lin, MingDe, Onofrey, John, Nowak, Michal, Cooper, Kirsten, Thomas, Elizabeth, Santana, Jessica, Gebauer, Bernhard, Mulligan, David, Staib, Lawrence, Batra, Ramesh, Chapiro, Julius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172370/
https://www.ncbi.nlm.nih.gov/pubmed/37165035
http://dx.doi.org/10.1038/s41598-023-34439-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172370/
https://www.ncbi.nlm.nih.gov/pubmed/37165035
http://dx.doi.org/10.1038/s41598-023-34439-7

Ejemplares similares