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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Detalles Bibliográficos
Autores principales: Cheng, Jun, Liu, Yuting, Huang, Wei, Hong, Wenhui, Wang, Lingling, Zhan, Xiaohui, Han, Zhi, Ni, Dong, Huang, Kun, Zhang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045755/
https://www.ncbi.nlm.nih.gov/pubmed/33869007
http://dx.doi.org/10.3389/fonc.2021.623382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045755/
https://www.ncbi.nlm.nih.gov/pubmed/33869007
http://dx.doi.org/10.3389/fonc.2021.623382

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