Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients

Limited previous studies focused on the death and progression risk stratification of colorectal cancer (CRC) lung metastasis patients. The aim of this study is to construct a nomogram model combing machine learning-pathomics, radiomics features, Immunoscore and clinical factors to predict the postop...

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Detalles Bibliográficos
Autores principales: Wang, Renjie, Dai, Weixing, Gong, Jing, Huang, Mingzhu, Hu, Tingdan, Li, Hang, Lin, Kailin, Tan, Cong, Hu, Hong, Tong, Tong, Cai, Guoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785554/
https://www.ncbi.nlm.nih.gov/pubmed/35073937
http://dx.doi.org/10.1186/s13045-022-01225-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785554/
https://www.ncbi.nlm.nih.gov/pubmed/35073937
http://dx.doi.org/10.1186/s13045-022-01225-3

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