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.
@article{arxiv.2006.11522,
title = {Access Control Management for Computer-Aided Diagnosis Systems using Blockchain},
author = {Mayra Samaniego and Sara Hosseinzadeh Kassani and Cristian Espana and Ralph Deters},
journal= {arXiv preprint arXiv:2006.11522},
year = {2020}
}
Comments
5 pages, 7 figures, 1 table, 2020 IEEE International Conference on Smart Internet of Things (SmartIoT)