Evaluation of foundation models for medical image segmentation tasks
PyTorch-based pipeline includes data preprocessing, model inference, and performance evaluation with standard metrics (Dice score, Hausdorff distance). The repository provides tools for visualizing segmentation results and comparing MedSAM-2's performance against baseline models, offering insights into adapting foundation models for medical imaging
TagMed is designed to facilitate the annotation of sensitive images and corresponding medical reports for computer vision projects.
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging
AI-Powered Medical Imaging Analysis & Research Segmentation Platform
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