Radiomics Analysis on Computed Tomography Images for Prediction of Chemoradiation-induced Heart Failure in Breast Cancer by Machine Learning Models
Our quantitative findings indicate that employing ML methods and combining radiomic, dosimetric, and clinical features to identify breast cancer patients at risk of cardiotoxicity is feasible.
Authors
- Ali Neshasteh‐Riz (ORCID: https://orcid.org/0000-0001-8576-4613)
- Fatima Zahra El Ansari (ORCID: https://orcid.org/0000-0002-0180-2502)
- Reza Paydar (ORCID: https://orcid.org/0000-0003-4296-1638)
- Fathollah Mohagheghi
- Susan Cheraghi (ORCID: https://orcid.org/0000-0002-9802-833X)
- Manijeh Beigi (ORCID: https://orcid.org/0000-0002-1511-5391)
- Sahar Felegari
Institutions
- Arak University of Medical Sciences (IR)
- Iran University of Medical Sciences (IR)
- K. N. Toosi University of Technology (IR)
Publication Details
- Journal
- Journal of Medical Signals & Sensors
- Published
- 2025-05-01
- DOI
- https://doi.org/10.4103/jmss.jmss_51_24
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36