De-Jun FAN

De-Jun FAN

Associate Professor

Biography

My research explores the intersection of gastrointestinal endoscopy (GIE) and artificial intelligence (AI), along with the biological mechanisms of colorectal cancer development.

Research Interests

  • Gastrointestinal Endoscopy
  • Artificial Intelligence

Education

  • Doctor of Medicine in General Surgery
    Sun Yat-sen University
    2020 - now
  • Master of Medicine in Surgery
    Sun Yat-sen University
    2013 - 2016
  • Bachelor of Medicine in Clinical Medicine
    Sun Yat-sen University
    2008 - 2013

Related Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

(2026). Journal Article INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy. CGH.
(2024). Conference Paper Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation. IEEE International Symposium on Biomedical Imaging.
(2022). Conference Paper Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation. IEEE International Symposium on Biomedical Imaging.
(2022). Conference Paper Lesion-aware dynamic kernel for polyp segmentation. Lecture Notes in Computer Science.
(2021). Journal Article Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer. Frontiers in Genetics.