STOKLASA, Roman, Ioannis STATHOPOULOS, Efstratios KARAVASILIS, Efstathios EFSTATHOPOULOS, Marek DOSTÁL, Miloš KEŘKOVSKÝ, Michal KOZUBEK and Luigi SERIO. Brain MRI Screening Tool with Federated Learning. Online. In 2024 IEEE International Symposium on Biomedical Imaging. Athens, Greece: IEEE, 2024, p. 1-5. ISBN 979-8-3503-1333-8. Available from: https://dx.doi.org/10.1109/ISBI56570.2024.10635396.
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Basic information
Original name Brain MRI Screening Tool with Federated Learning
Authors STOKLASA, Roman (703 Slovakia, guarantor, belonging to the institution), Ioannis STATHOPOULOS, Efstratios KARAVASILIS, Efstathios EFSTATHOPOULOS, Marek DOSTÁL (203 Czech Republic), Miloš KEŘKOVSKÝ (203 Czech Republic), Michal KOZUBEK (203 Czech Republic) and Luigi SERIO.
Edition Athens, Greece, 2024 IEEE International Symposium on Biomedical Imaging, p. 1-5, 5 pp. 2024.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
Organization unit Faculty of Informatics
ISBN 979-8-3503-1333-8
Doi http://dx.doi.org/10.1109/ISBI56570.2024.10635396
Keywords in English MRI; brain; tumor; screening; FL; federated; learning
Tags cbia-web
Tags International impact, Reviewed
Changed by Changed by: RNDr. Roman Stoklasa, Ph.D., učo 139873. Changed: 12/9/2024 15:20.
Abstract
In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases. In some cases, this may be caused by the lack of additional information and clues, so even the severe cases need to wait in the queue for diagnosis. This can be avoided if there is an automatic software tool, which would supplement additional information, alerting radiologists that the particular patient may be a severe case. We are presenting an automatic brain MRI Screening Tool and we are demonstrating its capabilities for detecting tumor-like pathologies. It is the first version on the path toward a robust multi-pathology screening solution. The tool supports Federated Learning, so multiple institutions may contribute to the model without disclosing their private data. The tool detected 98% of brain tumors in our testing dataset (102 patients) with a precision of 91 %, achieving a segmentation Dice score more than 0.88.
Links
LM2023050, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR, Czech BioImaging: National research infrastructure for biological and medical imaging
NU21-08-00359, research and development projectName: Klasifikace mozkových tumorů pomocí pokročilých metod analýzy dat multimodálního MR zobrazení difuze
Investor: Ministry of Health of the CR, Classification of brain tumors using advanced techniques of multimodal diffusion MRI data, Subprogram 1 - standard
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