A Framework for Automated Quantification of Calcified Coronary Artery from Intravascular Optical Coherence Tomography Images
Author:
Affiliation:
1. Massachusetts Institute of Technology,Institute for Medical Engineering and Science,Cambridge,USA
2. Brigham and Women’s Hospital,Division of Cardiac Surgery,Boston,USA
Funder
National Institutes of Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10313339/10313352/10313463.pdf?arnumber=10313463
Reference12 articles.
1. An automatic diagnostic system of coronary artery lesions in Kawasaki disease using intravascular optical coherence tomography imaging
2. A Transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images;liu,0
3. Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
4. Identification of coronary calcifications in optical coherence tomography imaging using deep learning
5. Intracoronary Optical Coherence Tomography: A Comprehensive Review
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithm;Quantitative Imaging in Medicine and Surgery;2024-06
2. A transformer-based pyramid network for coronary calcified plaque segmentation in intravascular optical coherence tomography images;Computerized Medical Imaging and Graphics;2024-04
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