Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4005
Title: Lesion detection and classification in colour fundus images
Authors: Zhang, Xiaohui
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2006
Source: Zhang, X. (2006). Lesion detection and classification in colour fundus images. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Medical image analysis is a challenging task that attracts intensive research interest in recent years. Color fundus image analysis is one of the most efficient means of detecting diabetic retinopathy which is characterized with lesions such as exudates, cotton wool spots, and hemorrhages. The main difficulties in lesion detection are noises, inhomogeneous illumination and interference of surrounding objects.
URI: http://hdl.handle.net/10356/4005
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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