Federated Learning Architecture for 3D Breast Cancer Image Classification

These findings underscore the effectiveness of the CNN-FL framework as a robust tool for breast cancer detection, showing that this approach offers a promising balance between diagnostic accuracy and data security-two critical factors in medical imaging.

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Publication Details

Journal
Cancers
Published
2025-10-28
DOI
https://doi.org/10.3390/cancers17213450
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Federated Learning Architecture for 3D Breast Cancer Image Classification

Ridha Ejbali, Imen Filali, Amel Ali Alhussan, Wiem Nhidi et al.
Cancers
Privacy-Preserving Technologies in Data
article

Federated Learning Architecture for 3D Breast Cancer Image Classification

Ridha Ejbali, Imen Filali, Amel Ali Alhussan, Wiem Nhidi, Faten Benhmida
article en

Abstract

These findings underscore the effectiveness of the CNN-FL framework as a robust tool for breast cancer detection, showing that this approach offers a promising balance between diagnostic accuracy and data security-two critical factors in medical imaging.

CancersVol. 17(21)
Princess Nourah bint Abdulrahman University (SA), Intelligent Machines (Sweden) (SE)
Openalex Percentile: Top 83%
Privacy-Preserving Technologies in Data
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