DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention

1 code implementation • 13 Feb 2021 • Neelambuj Chaturvedi

This approach has been evaluated on hands and feet radiographs of patients suffering from RA and has achieved a weighted root mean squared error (RMSE) of 1. 358 and 1. 404 in predicting joint level narrowing and erosion Sharp van der Heijde (SvH) scores which is 31% and 19% improvement with respect to the baseline SvH scores, respectively.

object-detection Object Detection