BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images

BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images

Abstract Breast cancer (BC) detection with medical imaging, like ultrasound and mammography, has advanced with deep learning (DL). However, static ensemble models struggle to adapt to varying classifier confidence, and traditional methods fail to capture both local and global features effectively. I...

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Bibliographic Details
Main Authors: Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Breast cancer detection
Deep learning
Medical imaging
Ensemble
Fuzzy logic
Online Access:https://doi.org/10.1186/s40537-025-01250-2
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https://doi.org/10.1186/s40537-025-01250-2

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