Deep meta-learning framework with U-Net segmentation and optimization-based feature selection for breast cancer detection in MRI images
- DOI
- 10.21037/qims-2026-1-0388
- Published
- 2026-08
- Container
- Quantitative Imaging in Medicine and Surgery
- Publisher
- AME Publishing Company
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21037/qims-2026-1-0388,
title = {Deep meta-learning framework with U-Net segmentation and optimization-based feature selection for breast cancer detection in MRI images},
author = {Balasubramaniam Pudhupalayam Marimuthu and Paulraj Ranjith Kumar and Arivoli Sundaramurthy and Jaya Jayabalan and Nourah Ahmed AlGhamlas and Bader Abdulkareem Alablani and Mohammad Mukhtar Alam and Wee Kuok Kwee},
year = {2026},
journal = {Quantitative Imaging in Medicine and Surgery},
doi = {10.21037/qims-2026-1-0388},
url = {https://doi.org/10.21037/qims-2026-1-0388}
}RIS
TY - JOUR TI - Deep meta-learning framework with U-Net segmentation and optimization-based feature selection for breast cancer detection in MRI images AU - Balasubramaniam Pudhupalayam Marimuthu AU - Paulraj Ranjith Kumar AU - Arivoli Sundaramurthy AU - Jaya Jayabalan AU - Nourah Ahmed AlGhamlas AU - Bader Abdulkareem Alablani AU - Mohammad Mukhtar Alam AU - Wee Kuok Kwee PY - 2026 JO - Quantitative Imaging in Medicine and Surgery DO - 10.21037/qims-2026-1-0388 UR - https://doi.org/10.21037/qims-2026-1-0388 ER -
APA
Marimuthu, B. P., Kumar, P. R., Sundaramurthy, A., Jayabalan, J., AlGhamlas, N. A., Alablani, B. A., Alam, M. M., & Kwee, W. K. (2026). Deep meta-learning framework with U-Net segmentation and optimization-based feature selection for breast cancer detection in MRI images. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-2026-1-0388
Source records
- crossref · retrieved 2026-09-25T19:38:35.158Z