Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy

Histopathological images of colorectal liver metastases (CRLM) contain rich morphometric information that may predict patients’ outcomes. However, to our knowledge, no study has reported any practical deep learning framework based on the histology images of CRLM, and their direct association with pr...

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Detalles Bibliográficos
Autores principales: Qi, Lin, Liang, Jie-ying, Li, Zhong-wu, Xi, Shao-yan, Lai, Yu-ni, Gao, Feng, Zhang, Xian-rui, Wang, De-shen, Hu, Ming-tao, Cao, Yi, Xu, Li-jian, Chan, Ronald C.K., Xing, Bao-cai, Wang, Xin, Li, Yu-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494211/
https://www.ncbi.nlm.nih.gov/pubmed/37701575
http://dx.doi.org/10.1016/j.isci.2023.107702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494211/
https://www.ncbi.nlm.nih.gov/pubmed/37701575
http://dx.doi.org/10.1016/j.isci.2023.107702

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