| Residential College | false |
| Status | 已發表Published |
| Deep learning-based prediction of invasive coronary angiography outcome from myocardial perfusion SPECT | |
Yu Du1 ; Bingjie Wang1; Ching-Ni Lin2; Zhengyu Peng1; Guang-Uei Hung2; MOK SENG PENG1 
| |
| 2024-06 | |
| Conference Name | 2024 Annual Meeting of Society of Nuclear Medicine and Molecular Imaging |
| Conference Date | 2024-06-08 to 2024-06-11 |
| Conference Place | Toronto, ON, Canada |
| Document Type | Conference paper |
| Collection | Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING |
| Corresponding Author | MOK SENG PENG |
| Affiliation | 1.University of Macau 2.Department of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital |
| First Author Affilication | University of Macau |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Yu Du,Bingjie Wang,Ching-Ni Lin,et al. Deep learning-based prediction of invasive coronary angiography outcome from myocardial perfusion SPECT[C], 2024. |
| APA | Yu Du., Bingjie Wang., Ching-Ni Lin., Zhengyu Peng., Guang-Uei Hung., & MOK SENG PENG (2024). Deep learning-based prediction of invasive coronary angiography outcome from myocardial perfusion SPECT. . |
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