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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
K.A Sreeja
Department of Electronics and Communication Engineering, SCMS School of Engineering and Technology, Karukutty, Ernakulam, Kerala, India.
Computer Science & IT Electrical & Electronics Engineering

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Automated Detection of Retinal Hemorrhage based on Supervised Classifiers K.A Sreeja; S.S Kumar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 1: March 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (991.33 KB) | DOI: 10.52549/ijeei.v8i1.1353

Abstract

Supervised machine learning algorithm based retinal hemorrhage detection and classification is presented. For developing an automated diabetic retinopathy screening system, efficient detection of retinal hemorrhage is important. Splat, which is a high level entity in image segmentation is used to mark out hemorrhage in the pre-processed fundus image. Here, color images of retina are portioned into different segments (splats) covereing the whole image. With the help of splat level and GLCM features extracted from the splats, three classifiers are trained and tested using the relevant features. The ground-truth is established with the help of a retinal expert and using dataset and clinical images the validation was done. The output obtained using the three classifiers had more than 96 % sensitivity and accuracy.
Co-Authors S.S Kumar