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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Библиографические подробности
Опубликовано в: :Cancer Res
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: 2017
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Article
Online-ссылка: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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