Application of Tuning-ensemble N-Best in Auto-Sklearn for Mammographic Radiomic Analysis for Breast Cancer Prediction
This study highlights the application of Auto-Sklearn as a scalable, automated and clinically relevant tool for breast cancer classification using mammographic radiomics.
Authors
- Muhammad Khalis Abdul Karim (ORCID: https://orcid.org/0000-0002-5357-4193)
- Faikah Awang Ismail
- Kaltham Abdulwahid Noor (ORCID: https://orcid.org/0000-0002-6970-6752)
- Siti Izzatul Akma Zaidon
Institutions
- Universiti Putra Malaysia (MY)
- Rashid Hospital (AE)
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-08-04
- DOI
- https://doi.org/10.2174/0115734056400080250722024127
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00