Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data P...
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment while preserving patient data privacy and security. Traditional centralized approaches often encounter obstacles in data sharing due to privacy regulations and security concerns, hindering the development of advanced AI-based medical imaging applications. To...
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Full title
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
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TN_cdi_doaj_primary_oai_doaj_org_article_b5abe4593cb64ddd8c37f055b648e52d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b5abe4593cb64ddd8c37f055b648e52d
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11194189
