0 157

Cited 0 times in

Super-resolution image generation for improvement of orbital thin bone segmentation

Authors
 Hee Rim Yun  ;  Min Jin Lee  ;  Helen Hong  ;  Kyu Won Shim2 
Citation
 Proceedings of SPIE--the International Society for Optical Engineering, Vol.11515 : 115150O, 2020-06 
Journal Title
Proceedings of SPIE--the International Society for Optical Engineering
ISSN
 0277-786X 
Issue Date
2020-06
Abstract
We generate super-resolution orbital bone CT images using 3D SRGAN network to improve the accuracy of segmentation of thin bones with large slice thickness. Our method consists of data preparation and super-resolution thin bone image generation. Experimental results show that the generated super-resolution images using 3D SRGAN are clearly observed in thin bone areas and are more similar to the original high resolution images than other images using bilinear and bicubic interpolations.
Full Text
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11515/115150O/Super-resolution-image-generation-for-improvement-of-orbital-thin-bone/10.1117/12.2566253.short?SSO=1
DOI
10.1117/12.2566253
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Microbiology (미생물학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
Yonsei Authors
Park, Inho(박인호) ORCID logo https://orcid.org/0000-0003-2190-5469
Shin, Jeon Soo(신전수) ORCID logo https://orcid.org/0000-0002-8294-3234
Shim, Kyu Won(심규원) ORCID logo https://orcid.org/0000-0002-9441-7354
Choi, Jun Yong(최준용) ORCID logo https://orcid.org/0000-0002-2775-3315
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/184991
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links