Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network

• Published in: Computer methods and programs in biomedicine Vol. 256; p. 108398
• Main Authors: Khatun, Zakia, Jónsson, Halldór, Tsirilaki, Mariella, Maffulli, Nicola, Oliva, Francesco, Daval, Pauline, Tortorella, Francesco, Gargiulo, Paolo
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.11.2024
• Subjects: Achilles tendon; Graph convolutional network; Magnetic resonance imaging; Segmentation via node classification; Superpixel; Superpixel; Achilles tendon; Graph convolutional network; Magnetic resonance imaging; Segmentation via node classification

Tendon segmentation is crucial for studying tendon-related pathologies like tendinopathy, tendinosis, etc. This step further enables detailed analysis of specific tendon regions using automated or semi-automated methods. This study specifically aims at the segmentation of Achilles tendon, the larges...