Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates.

Pathologic review of tumor morphology in histologic sections is the traditional method for cancer classification and grading, yet human review has limitations that can result in low reproducibility and inter-observer agreement. Computerized image analysis can partially overcome these shortcomings du...

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Detalhes bibliográficos

Principais autores:	Jun Kong, Lee A D Cooper, Fusheng Wang, Jingjing Gao, George Teodoro, Lisa Scarpace, Tom Mikkelsen, Matthew J Schniederjan, Carlos S Moreno, Joel H Saltz, Daniel J Brat
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Public Library of Science (PLoS) 2013-01-01
coleção:	PLoS ONE
Acesso em linha:	https://doi.org/10.1371/journal.pone.0081049
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