Towards Data Integration for AI in Cancer Research

被引：3
|
作者：
Kosvyra, Alexandra [1 ]
Filos, Dimitrios [1 ]
Fotopoulos, Dimitrios [1 ]
Olga, Tsave [1 ]
Chouvarda, Joanna [1 ]
机构：
[1] Aristotle Univ Thessaloniki, Sch Med, Thessaloniki, Greece
来源：
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) | 2021年
基金：
欧盟地平线“2020”;
关键词：
D O I：
10.1109/EMBC46164.2021.9629675
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Cancer research is increasing relying on data-driven methods and Artificial Intelligence (AI), to increase accuracy and efficiency in decision making. Such methods can solve a variety of clinically relevant problems in cancer diagnosis and treatment, provided that an adequate data availability is ensured. The generation of multicentric data repositories poses a series of integration and harmonization challenges. This work discusses the strategy, solutions and further issues identified along this procedure within the EU project INCISIVE that aims to generate an interoperable pan-European federated repository of medical images and an AI-based toolbox for medical imaging in cancer diagnosis and treatment.
引用
收藏
页码：2054 / 2057
页数：4
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