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
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Collections - College of Medicine > Department of Medicine > Journal Articles

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