CNN Classification of Multi-Scale Ensemble OCT for Macular Image Analysis

نویسندگان

چکیده

Computer-Aided Diagnosis (CAD) of retinal pathology is a dynamic medical analysis area. The CAD system in the optical coherence tomography (OCT) important for monitoring ocular diseases because heavy utilization OCT imaging process. Multi-Scale Expert Convolution Mixture (MCME) designed to classify normal retina. becoming one most popular non-invasive evaluation approaches eye disease. amount growing and automation image increasingly necessary. surrogate-aided classification approach automatically images Neural Network (CNN). methods macular are done by using CNN. Maculopathy combined collection facilitate effect inner region retina identified as macula. Central Serous Choric Retinopathy (CSCR) edema main two types maculopathies. Numerous researches have focused on detection these disorders with OCT. It used overcome diseases.

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ژورنال

عنوان ژورنال: International journal of electrical & electronics research

سال: 2022

ISSN: ['2347-470X']

DOI: https://doi.org/10.37391/ijeer.100417