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Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

PURPOSE: Tumors are continuously evolving biological systems, and medical imaging is uniquely positioned to monitor changes throughout treatment. While qualitatively tracking lesions over space and time may be trivial, the development of clinically-relevant, automated radiomics methods that incorpor...

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Detalles Bibliográficos
Publicado en:Clin Cancer Res
Main Authors: Xu, Yiwen, Hosny, Ahmed, Zeleznik, Roman, Parmar, Chintan, Coroller, Thibaud, Franco, Idalid, Mak, Raymond H, Aerts, Hugo JWL
Formato: Artigo
Idioma:Inglês
Publicado: 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6548658/
https://ncbi.nlm.nih.gov/pubmed/31010833
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-18-2495
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