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A Multimodal AI-based Toolbox and an Interoperable Health Imaging Repository for the Empowerment of Imaging Analysis related to the Diagnosis, Prediction and Follow-up of Cancer

Call H2020-SC1-FA-DTS-2019-1
Topic DT-TDS-05-2020: “AI for Health Imaging
Type RIA
Reference Grant Agreement No. 952179
Duration October 2020 – March 2024 (42 months)
Budget € 9,995,727.50
Funding € 9,995,727.50


Project Summary

INCISIVE aims to address three major open challenges in order to explore the full potential of AI solutions in cancer imaging: (1) AI challenges unique to medical imaging, (2) Image labelling and annotation and (3) Data availability and sharing. In order to do that INCISIVE will develop and validate: (1) an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, (2) an automated-ML based annotation mechanism to rapidly produce training data for machine learning research and (3) a pan-European repository federated repository of medical images, that will enable the secure donation and sharing of data in compliance with ethical, legal and privacy demands, increasing accessibility to datasets and enabling experimentation of AI-based solutions.

The INCISIVE models and analytics will utilize various cancer imaging scans, biological data and EHRs, and will be trained with 1 PB of available data provided by 8 partners within the project. INCISIVE solution will be investigated in three validation studies for Lung, Breast, Prostate and Colorectal Cancer, taking place in 8 sites, from 5 countries (Italy, Spain, Greece, Cyprus and Serbia), with participation of at least 2,600 patients and a total duration of 1,5 year. INCISIVE moves beyond the state of the art, by improving sensitivity and specificity of lower cost scanning methods, accurately predicting the tumor spread, evolution and relapse, enhancing interpretability of results and “democratizing” imaging data.

The role of Maggioli can be summarized as follows:

  • Project Coordinator
  • System Integrator
  • Technological Provider
  • Technical support to the Italian pilot


  • Maggioli S.p.A. (Italy)
  • Centro Regionale ICT SCRL (Italy)
  • Institute of Communication and Computer Systems (Greece)
  • Centre for Reseach and Technology Hellas (Greece)
  • Barcelona Supercomputing Centre (Spain)
  • European Dynamics SA (Luxembourg)
  • Telesto IoT Solutions Ltd. (United Kingdom)
  • Innosystems Ltd. (Greece)
  • Squaredev BV (Belgium)
  • Visaris D.o.o (Serbia)
  • University of Naples Federico II (Italy)
  • Aristotle University of Thessaloniki (Greece)
  • Cyprus University of Technology (Cyprus)
  • Kingston University (United Kingdom)
  • Hellenic Cancer Society (Greece)
  • Cyprus Association of Cancer Patients and Friends (Cyprus)
  • University of Rome Tor Vergata (Italy)
  • University of Athens (Greece)
  • University of Helsinki (Finland)
  • University of Novi Sad (Serbia)
  • German Oncology Centre (Cyprus)
  • Biomedical Research Institute August Sunyer (Spain)
  • Foundation Tic Salut (Spain)
  • Time.Lex (Belgium)
  • White Research SPRL (Belgium)
  • Medtronic SA (Spain)

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