Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network

ConclusionUsing 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.
Source: Clinical Rheumatology - Category: Rheumatology Source Type: research