A radiopathomics model for prognosis prediction in patients with gastric cancer
Author:
Affiliation:
1. Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences,Shenzhen,China
2. The First Medical Center of Chinese PLA General Hospital,Department of Gastroenterology,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011576/10011577/10012107.pdf?arnumber=10012107
Reference9 articles.
1. Radiomics in precision medicine for gastric cancer: opportunities and challenges
2. Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer
3. A CT-based radiomics signature for evaluating tumor infiltrating Treg cells and outcome prediction of gastric cancer
4. Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker
5. Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study
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