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Hyeyoon Chang

6PUBLICATIONS

23CO-AUTHORS

Cancer diagnosisBiomedical imagingDeep learningSemi- and unsupervised learningBioinformatic methods development

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Publications (6)

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|Mar 31, 2025

Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens.

Tae-Yeong Kwak, Chan Ho Lee, Won Young Park

|May 25, 2024

MurSS: A Multi-Resolution Selective Segmentation Model for Breast Cancer.

Joonho Lee, Geongyu Lee, Tae-Yeong Kwak

|Nov 25, 2023

RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis.

Hyunil Kim, Tae-Yeong Kwak, Hyeyoon Chang

|Jun 15, 2021

Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning.

Yechan Mun, Inyoung Paik, Su-Jin Shin

|Nov 27, 2019

Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment.

Han Suk Ryu, Min-Sun Jin, Jeong Hwan Park

|Feb 06, 2018

Programmed death-1 (PD-1) expression in cervical intraepithelial neoplasia and its relationship with recurrence after conization.

Hyeyoon Chang, Jin Hwa Hong, Jae Kwan Lee

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Frequent Collaborators

5 joint publications

Tae-Yeong Kwak

2 joint publications

Min-Sun Jin

1 joint publications

Jin Hwa Hong

1 joint publications

Jae Kwan Lee

1 joint publications

Hyun Woong Cho

1 joint publications

Yung Taek Ouh

1 joint publications

Kyung Jin Min

1 joint publications

Kyeong A So

1 joint publications

Su-Jin Shin

1 joint publications

Injung Kim

Frequent Collaborators

5 joint publications

Tae-Yeong Kwak

2 joint publications

Min-Sun Jin

1 joint publications

Jin Hwa Hong

1 joint publications

Jae Kwan Lee

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