Development of anthropomorphic multi-modality pelvic phantom for quantitative evaluation of deep-learning-based synthetic computed tomography image generation technique

2021-01-18l 조회수 236
1. 초록제목 : Development of anthropomorphic multi-modality pelvic phantom for quantitative evaluation of deep-learning-based synthetic computed tomography image generation technique 
2. 공동저자 : Hyeongin Jin, Sung Young Lee, Hyun Joon An, Chang Heon Choi, Eui Kyu Chie, Hong-Gyun Wu, Jong Min Park, Jung-in Kim
3. 책임교수 : Jung-in Kim
4. 발표자 성명 / e-mail : Hyeongmin Jin / hmjin@snu.ac.kr
5. 소속과 : 방사선종양학과
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