Construction and validation of artificial intelligence pathomics models for predicting pathological staging in colorectal cancer: Using multimodal data and clinical variables

Abstract Objective This retrospective observational study aims to develop and validate artificial intelligence (AI) pathomics models based on pathological Hematoxylin–Eosin (HE) slides and pathological immunohistochemistry (Ki67) slides for predicting the pathological staging of colorectal cancer. T...

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Detalhes bibliográficos

Principais autores:	Yang Tan, Run Liu, Jia‐wen Xue, Zhenbo Feng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-04-01
coleção:	Cancer Medicine
Assuntos:	artificial intelligence colorectal cancer pathological staging pathomics nomogram
Acesso em linha:	https://doi.org/10.1002/cam4.6947
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