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|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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