Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas.

Moon, GwiSeong; Lee, Doohee; Kim, Woo Jin; Kim, Yoon; Sung, Kun Yong; Choi, Hyun-Soo.

Afiliação

Moon G; Department of Computer Science and Engineering, Kangwon National University, Chuncheon, 24341, Kangwon, Republic of Korea; ZIOVISION Co., Ltd., Chuncheon, 24341, Kangwon, Republic of Korea.
Lee D; Department of Computer Science and Engineering, Kangwon National University, Chuncheon, 24341, Kangwon, Republic of Korea; ZIOVISION Co., Ltd., Chuncheon, 24341, Kangwon, Republic of Korea.
Kim WJ; Department of Biomedical Informatics, Kangwon National University, Chuncheon, 24341, Kangwon, Republic of Korea.
Kim Y; Department of Computer Science and Engineering, Kangwon National University, Chuncheon, 24341, Kangwon, Republic of Korea; ZIOVISION Co., Ltd., Chuncheon, 24341, Kangwon, Republic of Korea.
Sung KY; Department of Plastic and Reconstructive Surgery, Kangwon National University Hospital, Chuncheon, 24289, Kangwon, Republic of Korea.
Choi HS; ZIOVISION Co., Ltd., Chuncheon, 24341, Kangwon, Republic of Korea; Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, 01811, Republic of Korea. Electronic address: choi.hyunsoo@seoultech.ac.kr.

Comput Methods Programs Biomed ; 256: 108379, 2024 Aug 19.

Article em En | MEDLINE | ID: mdl-39217667