Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.
Kemal ÜretenHasan ErbayHadi Hakan MaraşPublished in: Clinical rheumatology (2019)
Using only pixel information on hand radiographs, a multi-layer CNN architecture with online data augmentation was designed. The performance metrics such as accuracy, error rate, sensitivity, specificity, and precision state shows that the network is promising in diagnosing rheumatoid arthritis.
Keyphrases
- convolutional neural network
- rheumatoid arthritis
- deep learning
- disease activity
- health information
- interstitial lung disease
- ankylosing spondylitis
- social media
- big data
- loop mediated isothermal amplification
- label free
- artificial intelligence
- systemic lupus erythematosus
- machine learning
- real time pcr
- idiopathic pulmonary fibrosis
- quantum dots
- structural basis
- sensitive detection