Convolution neural network model for fundus photograph quality assessment

• Main Authors: Mohammed Sheet, Sinan S., Tan, Tian-Swee, As’ari, Muhammad Amir, Wan Hitam, Wan Hazabbah, Ngoo, Qi Zhe, Sia, Joyce Sin Yin, Ling, Kelvin Chia Hiik
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104458/1/TanTianSwee2022_ConvolutionNeuralNetworkModelforFundus.pdf; http://eprints.utm.my/104458/; http://dx.doi.org/10.11591/ijeecs.v26.i2.pp915-923

The excellent quality of color fundus photograph is crucial for the ophthalmologist to process the correct diagnosis and for convolutional neural network (CNN) models to optimize output classification. As a result of main causes as acquire devises efficiency and experience of a physician most fundus...