Search Results for author:
Found 4 papers, 1 papers with code
XAI-based gait analysis of patients walking with Knee-Ankle-Foot orthosis using video cameras
The ground truth highlights the statistical significance of seven features captured using motion capture systems to differentiate between the two gaits.
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
Deep neural network (DNN) models for retinopathy have estimated predictive accuracies in the mid-to-high 90%.
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification
To investigate the effect of domain-specific pre-training, we considered the current state-of-the-art multiple-instance learning models, 1) CLAM, an attention-based model, and 2) TransMIL, a self-attention-based model, and evaluated the models' confidence and predictive performance in detecting primary brain tumors - gliomas.
Remote Pathological Gait Classification System
This paper presents a new dataset called GAIT-IT, captured from 21 subjects simulating 4 gait pathologies, with 2 severity levels, besides normal gait, being considerably larger than publicly available gait pathology datasets, allowing to train a deep learning model for gait pathology classification.
