title: Automated microaneurysm detection in diabetic retinopathy using curvelet transform.
abstract: Microaneurysms (MAs) are known to be the early signs of diabetic retinopathy (DR). An automated MA detection system based on curvelet transform is proposed for color fundus image analysis. Candidates of MA were extracted in two parallel steps. In step one, blood vessels were removed from preprocessed green band image and preliminary MA candidates were selected by local thresholding technique. In step two, based on statistical features, the image background was estimated. The results from the two steps allowed us to identify preliminary MA candidates which were also present in the image foreground. A collection set of features was fed to a rule-based classifier to divide the candidates into MAs and non-MAs. The proposed system was tested with Retinopathy Online Challenge database. The automated system detected 162 MAs out of 336, thus achieved a sensitivity of 48.21% with 65 false positives per image. Counting MA is a means to measure the progression of DR. Hence, the proposed system may be deployed to monitor the progression of DR at early stage in population studies.
authors: Universiti Teknologi PETRONAS, Department of Electrical and Electronic Engineering, Centre for Intelligent Signal and Imaging Research, Bandar Seri Iskandar, Perak 32610, Malaysia.
authors: Syed Ayaz
authors: SA
authors: Ali Shah
authors: National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433, Singapore.
authors: Augustinus
authors: A
authors: Laude
authors: Universiti Teknologi PETRONAS, Department of Fundamental and Applied Sciences, Centre for Intelligent Signal and Imaging Research, Bandar Seri Iskandar, Perak 32610, Malaysia.
authors: Ibrahima
authors: I
authors: Faye
authors: Universiti Teknologi PETRONAS, Department of Electrical and Electronic Engineering, Centre for Intelligent Signal and Imaging Research, Bandar Seri Iskandar, Perak 32610, Malaysia.
authors: Tong Boon
authors: TB
authors: Tang
mesh_terms: D000783:Aneurysm / Q000175:diagnosis* / Q000473:pathology; D003930:Diabetic Retinopathy / Q000150:complications* / Q000473:pathology; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012815:Signal Processing, Computer-Assisted