딥러닝 기반 대장내시경 사진 분석
This project is supported by GIL hospital(GIL-2017-06), NRF(2019R1F1A1060738), and partially Gyounggido(GRRC-2017-B01)
Related papers
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S. Poudel, Y.-J. Kim, D. M. Vo, and S.-W. Lee, "Localization-Guided Feature Learning for Colorectal Disease Classification," Artificial Intelligence in Medicine (Submitted in August 2019).
IF: 3.574 / Rank: 17.3%(Q1) -
N.-Q. Nguyen, D. M. Vo, and S.-W. Lee, "Detailed Upsamling Encoder-Decoder Networks for Contour-aware Polyp Segmentation in Colonoscopy Images," Artificial Intelligence in Medicine (Submitted in May 2019).
IF: 3.574 / Rank: 17.3%(Q1) -
H.-C. Park, Y.-J. Kim, and S.-W. Lee, "Adenocarcinoma Recognition in Endoscopy Images Using Optimized Convolutional Neural Networks," Journal of Medical Systems
IF: 2.098 / Rank: 48.4(Q2) -
N.-Q. Nguyen and S.-W. Lee, "Robust Boundary Segmentation in Medical Images using a Consecutive Deep Encoder-Decoder Network," IEEE Access, Vol. 7, No. 1, March 2019, pp. 33795-33808.
IF: 4.098/ Rank: 14.5%(Q1)
Award
1st in MedicoEval 2020
3rd in EndoCV 2021
Polyp Segmentation
Colorectal Disease Classification
