Emergence of Deep Learning in Knee Osteoarthritis Diagnosis

Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing significant disability in patients worldwide. Manual diagnosis, segmentation, and annotations of knee joints remain as the popular method to diagnose OA in clinical practices, although they are tedious and greatly...

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Veröffentlicht in:	Computational intelligence and neuroscience 2021, Vol.2021 (1), p.4931437-4931437
Hauptverfasser:	Yeoh, Pauline Shan Qing, Lai, Khin Wee, Goh, Siew Li, Hasikin, Khairunnisa, Hum, Yan Chai, Tee, Yee Kai, Dhanalakshmi, Samiappan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Annotations Arthritis Artificial intelligence Artificial neural networks Biomarkers Biomedical materials Cable television broadcasting industry Cartilage Classification Datasets Deep learning Demographics Diagnosis Diagnostic imaging Disease Health behavior Image processing Image segmentation Joint diseases Joints (anatomy) Knee Machine learning Magnetic resonance imaging Medical imaging Medical imaging equipment Neural networks Obesity Osteoarthritis Patients Radiography Review Risk factors Workflow
Online-Zugang:	Volltext
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