Computer-based measurements of joint space analysis using metacarpal morphometry in hand radiograph for evaluation of rheumatoid arthritis

Author:

Snekhalatha U.1,Anburajan M.1

Affiliation:

1. Department of Biomedical Engineering; SRM University; Kattankulathur Chennai Tamilnadu India

Publisher

Wiley

Subject

Rheumatology

Reference44 articles.

1. http://www.who.int/chp/topics/rheumatic/en/

2. Rheumatoid arthritis;Scott;Lancet,2010

3. Prevalence of rheumatic musculoskeletal disorders in west India nurbak population: bone and joint decade India Burden of disease project;Lagu-Joshi;Arthritis Rheum,2007

4. Radiographic imaging: the gold standard for assessment of disease progression in rheumatoid arthritis;Vander Heijde;Rheumatology,2000

5. Radiographic evaluation of rheumatoid arthritis and related conditions by standard reference films;Larsen;Acta Radiol (Diagn),1977

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1. HYBRID AI MODEL FOR THE DETECTION OF RHEUMATOID ARTHRITIS FROM HAND RADIOGRAPHS;Biomedical Engineering: Applications, Basis and Communications;2023-04-28

2. Deep learning model for the estimation of Rheumatoid arthritis in hand radiographs;PROCEEDING OF INTERNATIONAL CONFERENCE ON ENERGY, MANUFACTURE, ADVANCED MATERIAL AND MECHATRONICS 2021;2023

3. Automated evaluation of rheumatoid arthritis from hand radiographs using Machine Learning and deep learning techniques;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2022-07-12

4. Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks;Computers & Electrical Engineering;2019-09

5. Automated Hand Radiograph Segmentation, Feature Extraction and Classification Using Feed Forward BPN Network in Assessment of Rheumatoid Arthritis;Proceedings of 2nd International Conference on Intelligent Computing and Applications;2016-10-13

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