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D3.3. Interim Platform Design

Authors: Ignacio Blanquer; Damian Segrelles; Sergio López-Huguet; Pau Lozano; Andrei Stefan Alic; Karine Seymour; Thomas Trouillard; +13 Authors

D3.3. Interim Platform Design

Abstract

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.

Keywords

Cancer Images, Repositories, Cloud Computing, Artificial Intelligence, Software Architecture

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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