Lesion detection and classification in colour fundus images

Lesion detection and classification in colour fundus images

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...

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Bibliographic Details
Main Author: Zhang, Xiaohui
Other Authors: Song, Qing
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:http://hdl.handle.net/10356/4005
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Institution: Nanyang Technological University
Description
Summary: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.

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