Kim, Youngjun Kim, Sunhee Kim, Hannah Cho, Hyunchul Lee, Deukhee Kim, Laehyun Park, Sehyung Lee, Jung-Woo 2024-01-19T11:38:04Z 2024-01-19T11:38:04Z 2022-03-07 2016 1557-170X https://pubs.kist.re.kr/handle/201004/114977 Compared to conventional mandibular reconstruction surgery, a recent approach of virtual planning can reduce surgical time providing reliable surgical outcomes. We present our virtual surgical planning software using automatic segmentation and user-friendly techniques. Evaluation experiments compared with a commercial software prove that the proposed software can achieve successful surgical planning in reduced time with reliable accuracy. English IEEE Automatic Segmentation and User-friendly Software Techniques for Virtual Surgical Planning of Mandibular Reconstruction Conference 1 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), pp.2512 - 2515 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) 2512 2515 US Orlando, FL 2016-08-16 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 000399823502214 2-s2.0-85009152853 Proceedings Paper