A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression

Knee osteoarthritis (<i>KOA</i>) is a highly prevalent muscoloskeletal joint disorder affecting a significant portion of the population worldwide. Accurate predictions of <i>KOA</i> progression can assist clinicians in drawing preventive strategies for patients. In this paper, we present an integrat...

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Autori principali:	John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-04-01
Serie:	Machine Learning and Knowledge Extraction
Soggetti:	knee cartilage osteoarthritis (KOA) deep learning hypergraph convolutional networks (HGCNs) sequence-to-sequence learning 3D shape descriptors Kellgren–Lawrence (KL) grading
Accesso online:	https://www.mdpi.com/2504-4990/7/2/40
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