- Title
- Diabetic retinopathy classification using C4.5
- Creator
- Park, Mira; Summons, Peter
- Relation
- Knowledge Management and Acquisition for Intelligent Systems (PKAW 2018). Proceedings of 15th Pacific Rim Knowledge Acquisition Workshop (PKAW 2018) (Nanjing, China 28-29 August, 2018) p. 90-101
- Publisher Link
- http://dx.doi.org/10.1007/978-3-319-97289-3_7
- Publisher
- Springer
- Resource Type
- conference paper
- Date
- 2018
- Description
- Early detection of diabetic retinopathy (DR) can prevent blindness and improve the quality of life. Practical detection requires a cost-effective screening over a large population. The presence of Microaneurysms (MAs) in a retinal image is the earliest sign of DR. This paper presents an efficient method to automatically detect MAs in a retinal image. The method is based on an advanced wavelet transform and the C4.5 algorithm (a categorization algorithm to distinguish DR and non-DR cases). It uses both the green and red channel data in RGB retinal images for detection of small sized MAs and obtains image feature parameters from the input image. A system was developed to implement the proposed method that displayed a sensitivity of 0.92 and a precision of 0.82.
- Subject
- diabetic retinopathy; microaneurysms; c4.5; automatic detection
- Identifier
- http://hdl.handle.net/1959.13/1445529
- Identifier
- uon:42603
- Identifier
- ISBN:9783319972886
- Language
- eng
- Reviewed
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