A two-stage deep learning prediction system for colon cancer microsatellite instability status using CT images

The segmentation masks created by the trained deep learning segmentation model achieved a level comparable to that of expert radiologists, and the deep learning diagnostic model played an essential role in supporting doctors in diagnosis.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-12
DOI
https://doi.org/10.3389/fonc.2025.1699430
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

A two-stage deep learning prediction system for colon cancer microsatellite instability status using CT images

Xudong Yang, Jianfeng He, Tao Shen, Songlin Cui et al.
Frontiers in Oncology
Colorectal Cancer Screening and Detection
article

A two-stage deep learning prediction system for colon cancer microsatellite instability status using CT images

Xudong Yang, Jianfeng He, Tao Shen, Songlin Cui, Xin Xiong
article en

Abstract

The segmentation masks created by the trained deep learning segmentation model achieved a level comparable to that of expert radiologists, and the deep learning diagnostic model played an essential role in supporting doctors in diagnosis.

Frontiers in OncologyVol. 15
Kunming University of Science and Technology (CN), Kunming Medical University (CN)
National Natural Science Foundation of China, Yunnan Provincial Science and Technology Department
Openalex Percentile: Top 90%
Colorectal Cancer Screening and Detection
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