2026CGH
Team

Biography
Dr. De-Jun Fan is an Associate Professor in the Department of Gastrointestinal Endoscopy (GIE) at the Sixth Affiliated Hospital of Sun Yat-sen University. He is an expert in advanced endoscopic techniques, including resection, treatment of bleeding, dilation, and dissection for early-stage cancers and submucosal tumors. His research focuses on the intersection of GIE and artificial intelligence (AI), as well as the biological mechanisms underlying colorectal cancer development.
Research Interests
- Gastrointestinal Endoscopy
- Artificial Intelligence
Education
- Doctor of Medicine in General SurgerySun Yat-sen University2020 - 2026
- Master of Medicine in SurgerySun Yat-sen University2013 - 2016
- Bachelor of Medicine in Clinical MedicineSun Yat-sen University2008 - 2013
Lab highlights
Highlighted publications
All related publications
Journal ArticleMar 19, 2026CGH
INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy
De-Jun Fan†, Yize Mao†, Feng Liang†, Zheng Liu†, Huayu Li†, Jian Tang, Yanan Liu, Mingjie Wang, Yuting Qian, Jie Chen, Neng Wang, Tao Yang, Shuangyi Tan, Guanbin Li*, Feng Gao*, Jiancong Hu*, Xiaojian Wu*
Conference PaperApr 12, 2024IEEE International Symposium on Biomedical Imaging
Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation
Journal ArticleApr 1, 2023Cancer Medicine
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Journal ArticleSep 7, 2022Frontiers in Genetics
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
Conference PaperJun 1, 2022Journal of Clinical Oncology
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Conference PaperMay 1, 2022Gastroenterology
PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
Conference PaperMar 28, 2022IEEE International Symposium on Biomedical Imaging
Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation
Journal ArticleMar 11, 2022Frontiers in Genetics
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Conference PaperJan 1, 2022Lecture Notes in Computer Science
Lesion-aware dynamic kernel for polyp segmentation
Journal ArticleNov 25, 2021Frontiers in Genetics
Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer
Conference PaperMay 20, 2021Journal of Clinical Oncology
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Conference PaperMay 20, 2021Journal of Clinical Oncology
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Conference PaperMay 20, 2021Journal of Clinical Oncology