You're currently viewing an old version of this dataset. To see the current version, click here.

DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention

Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radio-graphs of hands and feet. This is a tedious task which requires trained experts whose subjective assessment leads to low inter-rater agreement.

Data and Resources

This dataset has no data

Cite this as

Neelambuj Chaturvedi (2024). Dataset: DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention. https://doi.org/10.57702/zc9pa8l0

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2102.06982
Author Neelambuj Chaturvedi
Homepage https://github.com/NC717/DeepRA