Orbital Bone Segmentation using Improved Skip Connection of U-Net Structure in Facial CT Images
Author:
Funder
서울여자대학교
한국보건산업진흥원
Publisher
Korea Computer Graphics Society
Subject
General Medicine
Link
http://journal.cg-korea.org/download/download_pdf?doi=10.15701/kcgs.2023.29.2.13
Reference14 articles.
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2. R. Schreurs, C. Klop, and T.J. Maal, “Advanced Diagnostics and Three-dimensional Virtual Surgical Planning in Orbital Reconstruction,” Atlas of the oral and maxillofacial surgery clinics of North America, 29(1), pp. 79-96, 2021. 10.1016/j.cxom.2020.11.003 33516541
3. H. Kim, T.G. Son, J. Lee, H.A. Kim, H. Cho, W.S. Jeong, et al, “Three-dimensional orbital wall modeling using paranasal sinus segmentation,” Journal of Cranio-Maxillofacial Surgery, 47(6), pp. 959-967, 2019. 10.1016/j.jcms.2019.03.028 31027858
4. G. Choi, J. Shin, J. Kyung, M. Kyung, and Y. Lee, “Data Augmentation Method for Deep Learning based Medical Image Segmentation Model,” Journal of the Korea Computer Graphics Society, 25(3), pp. 123-131, 2019. 10.15701/kcgs.2019.25.3.123
5. H. Pak, D. Kim, and Y.G. Shin, “Automatic Sagittal Plane Detection for the Identification of the Mandibular Canal,” Journal of the Korea Computer Graphics Society, 26(3), pp. 31-37, 2020. 10.15701/kcgs.2020.26.3.31
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