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- Title
Automatic glaucoma diagnosis through medical imaging informatics.
- Authors
Jiang Liu; Zhuo Zhang; Damon Wing Kee Wong; Yanwu Xu; Fengshou Yin; Jun Cheng; Ngan Meng Tan; Chee Keong Kwoh; Dong Xu; Yih Chung Tham; Tin Aung; Tien Yin Wong
- Abstract
Background Computer-aided diagnosis for screening utilizes computer-based analytical methodologies to process patient information. Glaucoma is the leading irreversible cause of blindness. Due to the lack of an effective and standard screening practice, more than 50% of the cases are undiagnosed, which prevents the early treatment of the disease. Objective To design an automatic glaucoma diagnosis architecture automatic glaucoma diagnosis through medical imaging informatics (AGLAIA-MII) that combines patient personal data, medical retinal fundus image, and patient's genome information for screening. Materials and methods 2258 cases from a population study were used to evaluate the screening software. These cases were attributed with patient personal data, retinal images and quality controlled genome data. Utilizing the multiple kernel learning-based classifier, AGLAIA-MII, combined patient personal data, major image features, and important genome single nucleotide polymorphism (SNP) features. Results and discussion Receiver operating characteristic curves were plotted to compare AGLAIA-MII's performance with classifiers using patient personal data, images, and genome SNP separately. AGLAIA-MII was able to achieve an area under curve value of 0.866, better than 0.551, 0.722 and 0.810 by the individual personal data, image and genome information components, respectively. AGLAIA-MII also demonstrated a substantial improvement over the current glaucoma screening approach based on intraocular pressure. Conclusions AGLAIA-MII demonstrates for the first time the capability of integrating patients' personal data, medical retinal image and genome information for automatic glaucoma diagnosis and screening in a large dataset from a population study. It paves the way for a holistic approach for automatic objective glaucoma diagnosis and screening.
- Subjects
MEDICAL informatics; DIAGNOSTIC imaging; IMAGE storage &; retrieval systems; DIAGNOSIS; GLAUCOMA diagnosis; MEDICAL imaging systems; COMPUTER software
- Publication
Journal of the American Medical Informatics Association, 2013, Vol 20, Issue 6, p1021
- ISSN
1067-5027
- Publication type
Article
- DOI
10.1136/amiajnl-2012-001336