  Computer-Aided Diagnosis (CAD) systems have emerged to support clinicians in
interpreting medical images. CAD systems are traditionally combined with
artificial intelligence (AI), computer vision, and data augmentation to
evaluate suspicious structures in medical images. This evaluation generates
vast amounts of data. Traditional CAD systems belong to a single institution
and handle data access management centrally. However, the advent of CAD systems
for research among multiple institutions demands distributed access management.
This research proposes a blockchain-based solution to enable distributed data
access management in CAD systems. This solution has been developed as a
distributed application (DApp) using Ethereum in a consortium network.
