Fetal Diagnostics using Vision Transformer for Enhanced Health and Severity Prediction in Ultrasound Imaging
These results emphasize that ViTs have the potential to revolutionize fetal health monitoring and will contribute significantly to reducing neonatal mortality by supplying clinicians with accurate and reliable predictions for early interventions. This work stands as a yardstick for further diagnostic applications using AI in fetal health care.
Authors
- Bhawna Goyal (ORCID: https://orcid.org/0000-0003-0111-9612)
- Sakshi Sakshi
- Vinay Kukreja (ORCID: https://orcid.org/0000-0002-9760-0824)
- Ayush Dogra (ORCID: https://orcid.org/0000-0002-6093-7124)
- Pratham Kaushik (ORCID: https://orcid.org/0009-0006-3895-3626)
- Eshika Jain
Institutions
- Chandigarh University (IN)
- Amity University (IN)
- Marwadi University (IN)
- Sohar University (OM)
- Chitkara University (IN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-03-19
- DOI
- https://doi.org/10.2174/0115734056360199250227053012
- Citations
- 4
- Primary Topic
- Smart Systems and Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 5.95