Deep Learning-Based Carotid Plaque Ultrasound Image Detection and Classification Study
The Faster RCNN (ResNet 50) model demonstrated high accuracy and reliability in classifying carotid atherosclerotic plaques, with diagnostic capabilities approaching that of intermediate-level physicians. It has the potential to enhance the diagnostic abilities of primary-level ultrasound physicians and assist in formulating more effective strategies for preventing ischemic stroke.
Authors
- Feng Zhao (ORCID: https://orcid.org/0000-0003-0850-9357)
- Hongzhen Zhang (ORCID: https://orcid.org/0000-0001-9918-9832)
Institutions
- Anhui University of Science and Technology (CN)
- Huaian First People’s Hospital (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2024-12-24
- DOI
- https://doi.org/10.31083/j.rcm2512454
- Citations
- 8
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.35
Funders
- Anhui University
- Anhui University of Science and Technology