Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

전방 이미지를 위한 세포정량화 도구Cell quantization tool for anterior chamber OCT images

Other Titles
Cell quantization tool for anterior chamber OCT images
Authors
Lee, Y.Kang, T.Han, Y.Kim, J.Kim, K.H.Lee, S.
Issue Date
Jul-2020
Publisher
대한전기학회
Keywords
Anterior Chamber; Cell Count; Computer Vision; SD-OCT
Citation
전기학회논문지, v.69, no.7, pp 1073 - 1080
Pages
8
Indexed
SCOPUS
KCI
Journal Title
전기학회논문지
Volume
69
Number
7
Start Page
1073
End Page
1080
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/8231
DOI
10.5370/KIEE.2020.69.7.1073
ISSN
1975-8359
2287-4364
Abstract
In general, ophthalmologists visually grade the state of a patient by counting the cells within the anterior chamber OCT image. The manual cell counting method is highly inaccurate and spends a lot of time to determine the progress of the patient. In this work, we develop a new tool to count cells in anterior chamber OCT images to aid doctors in analyzing the state of patients. We exploit image processing to remove noises from images, segment the anterior chamber, and quantize the cells in OCT images. We also provide statistics to aid the doctors in determining the progress of the patients. ? Korean Institute of Electrical Engineers
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medicine > Journal Articles

qrcode

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

Related Researcher

Researcher Kim, Jin Hyun photo

Kim, Jin Hyun
IT공과대학 (AI정보공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE