Fully automated macular pathology detection in retina optical coherence tomography images using sparse coding and dictionary learning

• Published in: Journal of biomedical optics Vol. 22; no. 1; p. 016012
• Main Authors: Sun, Yankui, Li, Shan, Sun, Zhongyang
• Format: Journal Article
• Language: English
• Published: United States Society of Photo-Optical Instrumentation Engineers 01.01.2017
• Subjects: Algorithms; Diabetic Retinopathy - complications; Diabetic Retinopathy - diagnostic imaging; Humans; Macular Degeneration - diagnostic imaging; Macular Degeneration - etiology; Macular Edema - diagnostic imaging; Macular Edema - etiology; Retina - diagnostic imaging; Tomography, Optical Coherence - methods; spatial pyramid matching; max pooling; optical coherence tomography; age-related macular degeneration; sparse coding; diabetic macular edema

We propose a framework for automated detection of dry age-related macular degeneration (AMD) and diabetic macular edema (DME) from retina optical coherence tomography (OCT) images, based on sparse coding and dictionary learning. The study aims to improve the classification performance of state-of-th...