Digital Healthcare

Nailfold Capillaroscopy Platform
An end-to-end AI workflow that captures nailfold capillaroscopy (NFC) images, enhances capillary visibility, and quantifies biomarkers for autoimmune and vascular disease screening.
Nailfold Capillaroscopy Platform
Event-based Vision for Privacy-Preserving Patient Monitoring
De-identifying and classifying bedridden patient actions using RGB-DVS hybrid sensors for privacy-preserving healthcare
Event-based Vision for Privacy-Preserving Patient Monitoring
DA-Capnet: Dual Attention for Nailfold Capillary Segmentation
A U-Net variant with channel and spatial attention tailored to nailfold capillary imaging.
DA-Capnet: Dual Attention for Nailfold Capillary Segmentation
Arrhythmia Classification with Deep Learning
Detecting irregular heartbeats through optimized deep neural architectures for wearable and clinical ECG.
Arrhythmia Classification with Deep Learning
Medical Image & Video Processing
Automating WBC counting and nailfold blood-flow analysis to uncover hidden infections and vascular disorders.
Medical Image & Video Processing
Grant Support

© 2025 BCML Lab, Kwangwoon University. All rights reserved. Terms & Privacy GitHub

Rm 701, Saebit Bldg., 20, Gwangun-ro, Nowon-gu, Seoul 01890, South Korea