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

Lu, Na; Guan, Xiao; Zhu, Jianguo; Li, Yuan; Zhang, Jianping

Lu, Na; Guan, Xiao; Zhu, Jianguo; Li, Yuan; Zhang, Jianping.

Affiliation

Lu N; Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, No. 121, Jiangjiayuan Road, Nanjing 210011, China.
Guan X; Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, No. 121, Jiangjiayuan Road, Nanjing 210011, China.
Zhu J; Department of Radiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China.
Li Y; Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zhang J; Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, No. 121, Jiangjiayuan Road, Nanjing 210011, China.

Cancers (Basel) ; 15(18)2023 Sep 10.

Article de En | MEDLINE | ID: mdl-37760468

Mots clés

RAS status; colorectal cancer; convolutional neural networks; deep learning; stage; transformer

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: Cancers (Basel) Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

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