| Residential College | false |
| Status | 已發表Published |
| Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation | |
Zhonglin Lu1,2; Zongyu Li2; Yixuan Jia2; Gefei Chen1; Molly Roseland2; MOK SENG PENG1 ; Yuni K Dewaraja2
| |
| 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 |
| Affiliation | 1.University of Macau 2.University of Michigan |
| First Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Zhonglin Lu,Zongyu Li,Yixuan Jia,et al. Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation[C], 2024. |
| APA | Zhonglin Lu., Zongyu Li., Yixuan Jia., Gefei Chen., Molly Roseland., MOK SENG PENG., & Yuni K Dewaraja (2024). Segment Anything Model for SPECT (SAMS): Novel implementation in SPECT imaging for tumor segmentation. . |
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