Self-supervised segmentation of myocardial perfusion imaging SPECT left ventricles
Author:
Affiliation:
1. Department of Computer Algebra, Eötvös Loránd University, Hungary
2. Department of Nuclear Medicine, Semmelweis University, Hungary
Funder
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3632047.3632078
Reference34 articles.
1. The promise of artificial intelligence and deep learning in PET and SPECT imaging
2. Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation
3. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
4. Comparison of Coronary CT Angiography, SPECT, PET, and Hybrid Imaging for Diagnosis of Ischemic Heart Disease Determined by Fractional Flow Reserve
5. Myocardial Perfusion Imaging - Beyond the Left Ventricle
Cited by 1 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. Continuous Max-Flow Augmentation of Self-Supervised Few-Shot Learning on Spect Left Ventricles;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27
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