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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Egile Nagusiak:	John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-04-01
Saila:	Machine Learning and Knowledge Extraction
Gaiak:	knee cartilage osteoarthritis (KOA) deep learning hypergraph convolutional networks (HGCNs) sequence-to-sequence learning 3D shape descriptors Kellgren–Lawrence (KL) grading
Sarrera elektronikoa:	https://www.mdpi.com/2504-4990/7/2/40
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