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PRIMAGE project

CB Carlos Baeza-Delgado
LA Leonor Cerdá Alberich
JC José Miguel Carot-Sierra
DV Diana Veiga-Canuto
BH Blanca Martínez de las Heras
BR Ben Raza
LM Luis Martí-Bonmatí
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PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalised diaGnosis and prognosis, Empowered by imaging biomarkers) is a Horizon 2020 funded research project (RIA, topic SC1-DTH-07-2018), an in silico observational study for the training and validation of machine learning algorithms and multiscale prediction models [15]. This project aims to offer precise clinical assistance in the most relevant paediatric cancers: NB and DIPG. The data repository contains a high number of variables, including clinical, molecular and genetic data (above 300 different variables), as well as imaging data (more than 100 radiomic features). Throughout the project, machine learning and image processing deep learning algorithms will be used to extract pattern information from the images and link outcome results to known ground-truth diagnosis.

Copyright and License information: The Author(s) under exclusive licence to European Society of Radiology ©2022
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