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International Journal of Molecular Sciences|January 10, 2026
AI-Driven Digital Pathology: Deep Learning and Multimodal Integration for Precision OncologyHyun-Jong Jang, Sung Hak Lee
Clinical and Molecular Hepatology|April 21, 2022
Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncologySung Hak Lee, Hyun-Jong Jang
International Journal of Cancer|September 2, 2022
Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancerSung Hak Lee, Yujin Lee, Hyun-Jong Jang
Cancers|May 27, 2026
Comparative Analysis of Deep Learning Approaches for Histopathology-Based Survival Prediction in Hepatocellular CarcinomaSung Hak Lee, Kwangil Yim, Hyun-Jong Jang
The Korean Journal of Physiology & Pharmacology : Official Journal of the Korean Physiological Society and the Korean Society of Pharmacology|January 8, 2020
Feasibility of fully automated classification of whole slide images based on deep learningKyung-Ok Cho, Sung Hak Lee, Hyun-Jong Jang
International Journal of Cancer|April 14, 2021
Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancerSung Hak Lee, In Hye Song, Hyun-Jong Jang
Cancers|August 7, 2021
Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology ImagesHyun-Jong Jang, In-Hye Song, Sung-Hak Lee
Diagnostics (Basel, Switzerland)|November 11, 2022
Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology ImagesJaeYen Song, Soyoung Im, Sung Hak Lee, et al.
Cancers|November 25, 2023
Deep Learning for the Pathologic Diagnosis of Hepatocellular Carcinoma, Cholangiocarcinoma, and Metastatic Colorectal CancerHyun-Jong Jang, Jai-Hyang Go, Younghoon Kim, et al.
World Journal of Gastroenterology|November 12, 2020
Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learningHyun-Jong Jang, Ahwon Lee, J Kang, et al.
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