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One of the objectives of CHAIMELEON project is to design an EU-wide interoperable repository (CHAIMELEON Repository). The repository will provide storage resources to share health images, related clinical and molecular data from pathologic and liquid biopsy samples, and also will provide advanced computational resources (such as high-memory, GPU-enabled and multicore nodes) to process these data as useful resources for the AI community to develop and test effective tools (such as Quantitative Imaging biomarkers) for improved cancer management applications. These tools will be validated in the application context of the four most prevalent cancers: lung, colorectal, breast and prostate. The repository must be supported by a distributed infrastructure, building on existing initiatives at European, national, regional and individual centres levels. This document constitutes covers the requirement analysis and the interim design architecture to implement the CHAIMELEON Repository, including a description of the methodology used.
Cancer Images, Repositories, Cloud Computing, Artificial Intelligence, Software Architecture
Cancer Images, Repositories, Cloud Computing, Artificial Intelligence, Software Architecture
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