Transfer Learning Strategies for Cardiovascular Disease Detection in ECG Imagery
The HeProbAtt BiGRU Net provides a highly accurate, automated, and efficient method for coronary artery calcium scoring. Its hybrid framework allows real-time classification and regression, aiding clinicians in early CAD diagnosis. Future work could include validation on larger, multi-center datasets, and incorporation of clinical explain-ability features.
Authors
- Anurag Kumar Sinha (ORCID: https://orcid.org/0000-0002-1034-6334)
- Syed Immamul Ansarullah (ORCID: https://orcid.org/0000-0002-0894-7595)
- M. Niranjanamurthy (ORCID: https://orcid.org/0000-0003-4008-8150)
- Savita K. Shetty (ORCID: https://orcid.org/0000-0003-1046-5138)
- Saifullah Khalid (ORCID: https://orcid.org/0009-0005-6894-0087)
- Ayeesha Soudagar
- Shashidhara Harohalli Shivalingappa
Institutions
- University of Kashmir (IN)
- SRM Institute of Science and Technology (IN)
- Visvesvaraya Technological University (IN)
- Central University of Kashmir (IN)
- Institute of Chartered Financial Analysts of India (IN)
Publication Details
- Journal
- Biomedical Engineering and Computational Biology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1177/11795972251397812
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00