Magnetic Resonance Imaging

Graph Echo State Network for MRI-based Tendon Pathology Classification

This study presents an end-to-end tendon pathology detection (classification) module utilizing a custom ankle MRI dataset comprising 76 subjects (45 healthy, 31 pathological). We propose a graph-based module that converts images into graph representations for classification.

Beyond pixel Superpixel-based MRI Segmentation through Traditional Machine Learning and Graph Convolutional Network

This study proposes a comprehensive end-to-end tendon segmentation module composed of a preliminary superpixel-based coarse segmentation preceding the final segmentation task.