Detection of Cataract Based on Image Features Using Convolutional Neural Networks

Detection of Cataract Based on Image Features Using Convolutional Neural Networks

Cataract are the highest cause of blindness that there are 32.4 million people experiencing blindness and as many as 191 million people experiencing visual disabilities in 2010 in the world. On the other hand, the longer a patient suffers from cataracts or late treatment. The development of cataract...

Полное описание

Библиографические подробности
Главные авторы: Indra Weni, Pradita Eko Prasetyo Utomo, Benedika Ferdian Hutabarat, Muksin Alfalah
Формат: Статья
Язык:English
Опубликовано: Universitas Gadjah Mada 2021-01-01
Серии:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Предметы:
cataract
convolutional neural network
epoch
image
accuracy
Online-ссылка:https://jurnal.ugm.ac.id/ijccs/article/view/61882

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/61882

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