DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention

doi:doi:10.57702/zc9pa8l0

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.

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Cite this as

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

DOI retrieved: December 16, 2024

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