Medical imaging in rheumatoid arthritis: A review on deep learning approach

Abstract: Arthritis is a musculoskeletal disorder. Millions of people have arthritis, making it one of the most common joint disorders. Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most common types of arthritis among the many different types available. Pain, stiffness, and inflammation are among the early signs of arthritis, which can progress to severe immobility at a later stage if left untreated. Although arthritis cannot be cured at any point in time, it can be managed if diagnosed and treated correctly. Clinical diagnostic and medical imaging methods are currently used to evaluate OA and RA, both debilitating conditions. This review is focused on deep learning approaches used by taking medical imaging (X-rays and magnetic resonance imaging) as input for the detection of RA.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Medical imaging in rheumatoid arthritis: A review on deep learning approach ; volume:18 ; number:1 ; year:2023 ; extent:13 ; Open life sciences ; 18, Heft 1 (2023) (gesamt 13)

Beteiligte, Orts- und Zeitangaben

• Urheber: Parashar, Apoorva ; Rishi, Rahul ; Parashar, Anubha ; Rida, Imad

Weitere Informationen

• DOI: 10.1515/biol-2022-0611
• URN: urn:nbn:de:101:1-2023070814024671322106
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 11:03 MESZ