Brain MRI Screening Tool with Federated Learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F24%3A00080465" target="_blank" >RIV/65269705:_____/24:00080465 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14330/24:00136280
Result on the web
<a href="https://ieeexplore.ieee.org/document/10635396" target="_blank" >https://ieeexplore.ieee.org/document/10635396</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI56570.2024.10635396" target="_blank" >10.1109/ISBI56570.2024.10635396</a>

Result language
angličtina
Original language name
Brain MRI Screening Tool with Federated Learning
Original language description
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.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - International Symposium on Biomedical Imaging
ISBN
979-8-3503-1333-8
ISSN
1945-7928
e-ISSN
—
Number of pages
5
Pages from-to
202064
Publisher name
IEEE
Place of publication
New York
Event location
Athens
Event date
May 27, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001305705101121

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