A novel hybrid approach for automated detection of retinal detachment using ultrasound image

En, En Wei Koha and Raghavendra, U and Gudigar, Anjan and Ping, Ooi chung and Molinari, Filippo and Mishra, Samarth and Mathavan, Sinnakaruppan and Raman, Rajiv and Acharya, Ranjendra U (2020) A novel hybrid approach for automated detection of retinal detachment using ultrasound image. Computers in Biology and Medicine, 120. ISSN 0010-4825

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Abstract

Retinal detachment (RD) is an ocular emergency, which needs quick intervention to preclude permanent vision loss. In general, ocular ultrasound is used by ophthalmologists to enhance their judgment in detecting RD in eyes with media opacities which precludes the retinal evaluation. However, the quality of ultrasound (US) images may be degraded due to the presence of noise, and other retinal conditions may cause membranous echoes. All these can influence the accuracy of diagnosis. Hence, to overcome the above, we are proposing an automated system to detect RD using texton, higher order spectral (HOS) cumulants and locality sensitive discriminant analysis (LSDA) techniques. Our developed method is able to classify the posterior vitreous detachment and RD using support vector machine classifier with highest accuracy of 99.13%. Our system is ready to be tested with more diverse ultrasound images and aid ophthalmologists to arrive at a more accurate diagnosis.

Item Type: Article
Uncontrolled Keywords: Texture Ultrasound Classifier Image HOS Cumulant
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 03 Sep 2020 08:45
Last Modified: 03 Sep 2020 08:45
URI: http://eprints.manipal.edu/id/eprint/155600

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