| Residential College | false |
| Status | 已發表Published |
| Deep learning-based automated segmentation of liver and tumors on CT arterial portography and hepatic arteriography for Y-90 radioembolization | |
G Chen1; H Wang1; Z Lu1; K-H Lin2; MOK SENG PENG1 
| |
| 2023-11 | |
| Conference Name | 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD) |
| Conference Date | 04-11 November 2023 |
| Conference Place | Vancouver, BC, 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.Taipei Veterans General Hospital |
| First Author Affilication | University of Macau |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | G Chen,H Wang,Z Lu,et al. Deep learning-based automated segmentation of liver and tumors on CT arterial portography and hepatic arteriography for Y-90 radioembolization[C], 2023. |
| APA | G Chen., H Wang., Z Lu., K-H Lin., & MOK SENG PENG (2023). Deep learning-based automated segmentation of liver and tumors on CT arterial portography and hepatic arteriography for Y-90 radioembolization. . |
| Files in This Item: | There are no files associated with this item. | |||||
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