Computational Image Analysis Identifies Histopathological Image Features Associated With Somatic Mutations and Patient Survival in Gastric Adenocarcinoma

Computational analysis of histopathological images can identify sub-visual objective image features that may not be visually distinguishable by human eyes, and hence provides better modeling of disease phenotypes. This study aims to investigate whether specific image features are associated with som...

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Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Cheng, Jun, Liu, Yuting, Huang, Wei, Hong, Wenhui, Wang, Lingling, Zhan, Xiaohui, Han, Zhi, Ni, Dong, Huang, Kun, Zhang, Jie
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8045755/
https://ncbi.nlm.nih.gov/pubmed/33869007
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2021.623382
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