A Contrast-Enhanced CT-Based Deep Learning System for Preoperative Prediction of Colorectal Cancer Staging and RAS Mutation

A Contrast-Enhanced CT-Based Deep Learning System for Preoperative Prediction of Colorectal Cancer Staging and RAS Mutation

Purpose: This study aimed to build a deep learning system using enhanced computed tomography (CT) portal-phase images for predicting colorectal cancer patients’ preoperative staging and RAS gene mutation status. Methods: The contrast-enhanced CT image dataset comprises the CT portal-phase images fro...

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Bibliographic Details
Main Authors: Na Lu, Xiao Guan, Jianguo Zhu, Yuan Li, Jianping Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Cancers
Subjects:
colorectal cancer
stage
RAS status
deep learning
convolutional neural networks
transformer
Online Access:https://www.mdpi.com/2072-6694/15/18/4497

Internet

https://www.mdpi.com/2072-6694/15/18/4497

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