Deep learning in the detection of early inflammatory signs in rheumatoid arthritis
Abstract
In this study, we have developed a series of models and methods for quantifying inflammation, predicting future RA development, interpreting DL models, aggregating information to reach population-level conclusions, and combining all these methods to discover potential new imaging biomarkers that contribute to RA prediction.
Deep learningClass activation mapsFeature analysisDeep learning interpretationNeural networksRheumatoid arthritisInflammation: MRI
