A Novel Automatic Coronary Artery Segmentation Method Based on Region Growing with Annular and Spherical Sector Partition
Author:
Publisher
American Scientific Publishers
Subject
Health Informatics,Radiology Nuclear Medicine and imaging
Cited by 8 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. Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17
2. DBCU-Net: deep learning approach for segmentation of coronary angiography images;The International Journal of Cardiovascular Imaging;2023-04-05
3. Coronary Artery Segmentation on Echocardiograms for Kawasaki Disease Diagnosis;2022 E-Health and Bioengineering Conference (EHB);2022-11-17
4. DBCU-Net: Deep Learning Approach for Segmentation of Coronary Angiography Images;2022-09-07
5. A Review on Vessel Segmentation of X-Ray Coronary Angiography Images Based on Deep Learning;2021 The 4th International Conference on Machine Learning and Machine Intelligence;2021-09-17
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