Graph attention network for stroke classification
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Updated
Jul 25, 2024 - Python
Graph attention network for stroke classification
ACM CHI '23 | Data augmentation for stroke gestures
A high-performance stroke classification system using Deep Learning, Knowledge Distillation, and Ensemble Learning on CT scans, featuring a modular training and evaluation pipeline with 98% accuracy.
Brain CT stroke classification using PyTorch, ResNet18 and Grad-CAM | Deep learning research prototype with group-aware evaluation.
07/2019: For a sequence of images recorded from DepthSense cameras, the goal is to isolate the hand in the scene, compute a pointer in it and use the sequence of positions to classify the stroke
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