Cataract classification based on fundus image using an optimized convolution neural network with lookahead optimizer

Mas Andam Syarifah, Alhadi Bustamam, Patuan P. Tampubolon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Acataract is an eye disease that is the leading cause of blindness. Based on Vision 2020 predicted, about 1,270 people each day will become blind because of it. Therefore, there needs to be a way to identify cataracts for its prevention. The fundus image dataseis are from the Kaggle dataset, which is consists of normal fundus images and cataract fundus images. The data will be processed first and then be trained to get the best model using the Convolutional Neural Network (CNN) method, where this method uses several layers to find the weight and bias values as processing to find the best model. However, the CNN process takes quite a lot of time and costs. In consequence, optimization will be carried out. It can improve accuracy and speed up the processing time. In this study, image classification will be carried out with the CNN model and Lookahead optimizer. As a result, using the Kaggle dataset of cataracts, the algorithm can distinguish the label of images. CNN AlexNet architecture with the Lookahead optimizer on SGD and Adam. Also increases accuracy Adam about 20% and improve optimizer SGD about 2.5%.

Original languageEnglish
Title of host publicationInternational Conference on Science and Applied Science, ICSAS 2020
EditorsBudi Purnama, Dewanta Arya Nugraha, Fuad Anwar
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735440302
DOIs
Publication statusPublished - 16 Nov 2020
Event2020 International Conference on Science and Applied Science, ICSAS 2020 - Surakarta, Indonesia
Duration: 7 Jul 2020 → …

Publication series

NameAIP Conference Proceedings
Volume2296
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2020 International Conference on Science and Applied Science, ICSAS 2020
CountryIndonesia
CitySurakarta
Period7/07/20 → …

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