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Enhancing High-Resolution Image Segmentation Precision through Collaborative Learning for Accurate Assessment of Axillary Lymph Node Metastasis in Full-Field Digital Mammography
EUropean Federation for CAncer IMages (EUCAIM) is funded under the Digital Europe Program.
EUCAIM is part of Europe's Beating Cancer Plan (EBCP), which aims to foster innovation in digital technologies for cancer treatment, in order to make more precise and faster clinical decisions, diagnosis, treatment and predictive medicine.
EUCAIM's mission is to build a pan-European digital infrastructure of cancer-related imaging data that will be used to develop AI tools aimed at advancing precision medicine.
The EUCAIM competition in which we plan to participate aims, among other things, to include new holders of cancer imaging data and to incorporate new reliable and trustworthy AI algorithms trained on cancer image data into the repository. Currently, the EUCAIM consortium consists of 76 partners from 14 countries.
Our PG team planned research will address the development of AI-based algorithms for early, non-invasive and automated lesion segmentation based on high-resolution digital mammography images.
A system for collaborative learning of deep neural networks will be developed to classify and segment breast lesions, using medical annotation of images at the image level as well as the pixel level. In collaborative learning, pre-trained models will share generated masks. The data exchange will enable semi-supervised learning of the segmentation model, while the segmentator masks will be used to label individual instances of the MIL classifier. The planned approach assumes that simultaneous, joint (collaborative) learning of the classifier and segmentation mask generator will lead to their optimal use under the given conditions. The developed system will serve the early detection of breast cancer metastasis to lymph nodes.
An important aspect of the competition is that the laureates become full members of the consortium. Participation in EUCAIM will enable access to state-of-the-art tools and resources, integration with leading scientific and research centers, presentation of research results internationally, as well as generation of ideas and critical research mass allowing application to subsequent international grants, including Horizon Europe or ERC. In addition, all PG teams, through our team, will have access to much of the data collected by the consortium.
Details
- Project's acronym:
- EUCAIM
- Financial Program Name:
- Digital Europe Programme - KE
- Organization:
- Komisja Europejska
- Agreement:
- 101100633 — EUCAIM — DIGITAL-2022-CLOUD-AI-02 z dnia 2022-12-13
- Realisation period:
- 2025-01-01 - 2026-12-31
- Research team leader:
- dr hab. inż. Michał Grochowski
- Realised in:
- Department of Intelligent and Decision Support Systems
- External institutions
participating in project: -
- BAHIA (Spain)
- S2 Grupo (Spain)
- German Electron Synchrotron (Germany)
- Hospital Clinic de Barcelona (Spain)
- ELIXIR (Germany)
- Spanish National Research Council State Agency (Spain)
- IFOM-Istituto Fondazione di Oncologia Molecolare (Italy)
- Euro-BioImaging ERIC (Finland)
- German Oncology Center (Cyprus)
- Hellenic Cancer Society (Greece)
- LIMICS (France)
- MATICAL (Spain)
- Assistance Publique Hôpitaux de Paris (France)
- SYNLAB (Italy)
- Aristotle University of Thessaoloniki (Greece)
- Servicos Partilhados do Ministerio da Saude (Portugal)
- Polytecnic University Valencia (Spain)
- Radiomics (Belgium)
- La Fe University and Polytechnic Hospital (Spain)
- University Hospital Aachen (Germany)
- University of Valencia (Spain)
- Radboud University Medical Center (Netherlands)
- BBMRI-ERIC (Austria)
- Owkin (France)
- Instituto de Salud Carlos III (Spain)
- Region Västerbotten (Sweden)
- Health-RI (Netherlands)
- The EGI Foundation (Netherlands)
- European Institute for Biomedical Imaging Research (Austria)
- Instituto Tecnológico de Informática (Spain)
- Quibim (Spain)
- Andalusian Health Service (Spain)
- University of Coimbra (Portugal)
- Neuromed (Italy)
- Sapienza University of Rome (Italy)
- Medical University of Innsbruck (Austria)
- Łukasiewicz – PORT (Poland)
- KU Leuven (Belgium)
- Champalimaud Foundation (Portugal)
- Sciensano (Belgium)
- Italian National Research Council (Italy)
- CNRS (France)
- Consorcio Centro de Investigacion Biomedica en Red (Spain)
- Linköping University (Sweden)
- Medexprim (France)
- Karolinska Institute (Sweden)
- German Cancer Research Center (Germany)
- Maastricht University (Netherlands)
- Vinnova (Sweden)
- Centre for Genomic Regulation (Spain)
- University of Barcelona (Spain)
- Philips (Germany) (Germany)
- Masaryk University (Czechia)
- Collège des Enseignants en Radiologie de France (France)
- National Bioinformatics Infrastructure Sweden (Sweden)
- University of Pisa (Italy)
- The Netherlands Cancer Institute (Netherlands)
- Foundation for Research and Technology – Hellas (Greece)
- Erasmus University Medical Center (Netherlands)
- Servicio Madrileño de Salud (Spain)
- EATRIS (Netherlands)
- Technical University of Munich (Germany)
- Policinico San Donato Research Hospital (Italy)
- Maggioli (Italy)
- IQVIA (Spain)
- Centro Hospitalar Universitário de Santo António (Portugal)
- Istituti Fisioterapici Ospitalieri – Istituto Nazionale Tumori Regina Elena (Italy)
- Gemelli University Hospital (Italy)
- French Institute for Research in Computer Science and Automation (France)
- COCIR (Belgium)
- Fundacio Clinic Per a la Recerca Biomedica (Spain)
- Umeå University (Sweden)
- Philips (The Netherlands) (Netherlands)
- Charité (Germany)
- Medical University of Gdansk (Poland)
- Medical University of Vienna (Austria)
- Centro Nacional de Supercomputacion (Spain)
- Project's value:
- 35 472 667.80 EUR
- Request type:
- Different
- Domestic:
- Domestic project
- Verified by:
- Gdańsk University of Technology
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