Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13031
ชื่อเรื่อง: Automated Age-related Macular Degeneration screening system using fundus images
ผู้แต่ง: Kunumpol P.
Umpaipant W.
Kanchanaranya N.
Charoenpong T.
Vongkittirux S.
Kupakanjana T.
Tantibundhit C.
Keywords: algorithm
eye fundus
human
macular degeneration
wavelet analysis
Algorithms
Fundus Oculi
Humans
Macular Degeneration
Wavelet Analysis
วันที่เผยแพร่: 2017
บทคัดย่อ: This work proposed an automated screening system for Age-related Macular Degeneration (AMD), and distinguishing between wet or dry types of AMD using fundus images to assist ophthalmologists in eye disease screening and management. The algorithm employs contrast-limited adaptive histogram equalization (CLAHE) in image enhancement. Subsequently, discrete wavelet transform (DWT) and locality sensitivity discrimination analysis (LSDA) were used to extract features for a neural network model to classify the results. The results showed that the proposed algorithm was able to distinguish between normal eyes, dry AMD, or wet AMD with 98.63% sensitivity, 99.15% specificity, and 98.94% accuracy, suggesting promising potential as a medical support system for faster eye disease screening at lower costs. © 2017 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13031
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032199228&doi=10.1109%2fEMBC.2017.8037112&partnerID=40&md5=4231ae304513634004b3263aea8aac19
ISSN: 1557170X
Appears in Collections:Scopus 1983-2021

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