Somatic mutations drive distinct imaging phenotypes in lung cancer

Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific mutations, artificial intelligence (AI) methods can automatic...

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Detalhes bibliográficos
Publicado no:Cancer Res
Main Authors: Velazquez, Emmanuel Rios, Parmar, Chintan, Liu, Ying, Coroller, Thibaud P., Cruz, Gisele, Stringfield, Olya, Ye, Zhaoxiang, Makrigiorgos, Mike, Fennessy, Fiona, Mak, Raymond H., Gillies, Robert, Quackenbush, John, Aerts, Hugo J.W.L.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5528160/
https://ncbi.nlm.nih.gov/pubmed/28566328
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/0008-5472.CAN-17-0122
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