CityU-AIM-Group
The Artificial Intelligence in Medicine (AIM) Group from CityU EE focuses on developing and applying machine learning methods to enable precision medicine.
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- DSI-Net Public
[TMI' 21] DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images
CityU-AIM-Group/DSI-Net’s past year of commit activity - HABIT Public
This is an official PyTorch implementation of the paper "Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification"
CityU-AIM-Group/HABIT’s past year of commit activity - SFDA-FSM Public
[MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining
CityU-AIM-Group/SFDA-FSM’s past year of commit activity - EndoCV-2021 Public
[EndoCV'21] Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data
CityU-AIM-Group/EndoCV-2021’s past year of commit activity
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