Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantification of radiographic characteristics and potential...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en:PLoS Med
Main Authors: Hosny, Ahmed, Parmar, Chintan, Coroller, Thibaud P., Grossmann, Patrick, Zeleznik, Roman, Kumar, Avnish, Bussink, Johan, Gillies, Robert J., Mak, Raymond H., Aerts, Hugo J. W. L.
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2018
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6269088/
https://ncbi.nlm.nih.gov/pubmed/30500819
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pmed.1002711
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares