Automatic glaucoma diagnosis through medical imaging informatics

• Main Authors: Liu, Jiang, Zhang, Zhuo, Wong, Damon Wing Kee, Xu, Yanwu, Yin, Fengshou, Cheng, Jun, Tan, Ngan Meng, Kwoh, Chee Keong, Xu, Dong, Tham, Yih Chung, Aung, Tin, Wong, Tien Yin
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Patient data; Medical Retinal Image; Medical imaging informatics; Genome information; Multiple kernel learning; Glaucoma
• Online Access: https://hdl.handle.net/10356/81944; http://hdl.handle.net/10220/41055
• Institution: Nanyang Technological University

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, w...