The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.
RETRACTED ARTICLE: Deep learning approaches to detect breast cancer: a comprehensive review
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“A model for initial breast cancer detection was trained over multiple healthcare centers, attaining robust performance by aggregating locally trained models. This distributed way allowed diverse patient demographics to be represented without compromising individual privacy [43].”
From Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration (2024) · cites this paper as [43]
Citations
Cites
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Cited by
Sorted by citations
Abbas, S. R., Abbas, Z., Zahir, A., & Lee, S. W. (2024) · Healthcare · doi:10.3390/healthcare12242587 · Cited by 228
Alom, M. R., Farid, F. A., Rahaman, M. A., Rahman, A., Debnath, T., Miah, A. S. M., & Mansor, S. B. (2025) · Scientific Reports · doi:10.1038/s41598-025-97718-5 · Cited by 73
A scoping review of the governance of federated learning in healthcare
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Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
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Ahmed, M. R., Rahman, H., Limon, Z. H., Siddiqui, M. I. H., Khan, M. A., Pranta, A. S. U. K., Haque, R., Swapno, S. M. M. R., Cho, Y. I., & Abdallah, M. S. (2025) · Bioengineering · doi:10.3390/bioengineering12060651 · Cited by 57
Metadata
- Authors
- Sharafaddini, A. M., Esfahani, K. K., & Mansouri, N.
- Affiliations
- Shahid Bahonar University of Kerman (IR)
- Corresponding author
- Mansouri, Najme
- ORCID
- Mansouri, Najme
- Venue
- Multimedia Tools and Applications
- Published
- 2024-08-20
- Volume
- 84
- Issue
- 21
- Pages
- 24079-24190
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W4401978246
- Cited by
- 104
- References
- 138
- Citations by year
- 2026: 42 · 2025: 56 · 2024: 6
- FWCI
- 15.35
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- Open access
- closed
- Licence
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- breast cancer detection, breast cancer diagnosis, deep learning, convolutional neural networks, mammography, breast ultrasound, breast MRI, histopathology, infrared thermography, microcalcification detection, tumor localization, class imbalance, data augmentation, transfer learning, multimodal data integration, model interpretability
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