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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Vydáno v:Front Oncol
Hlavní autoři: Cheng, Jun, Liu, Yuting, Huang, Wei, Hong, Wenhui, Wang, Lingling, Zhan, Xiaohui, Han, Zhi, Ni, Dong, Huang, Kun, Zhang, Jie
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2021
Témata:
Oncology
On-line přístup: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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