Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network

• Main Authors: Mohammed Sheet, Sinan S., Tan, Tian-Swee, As’ari, M. A., W. Hitam, Wan Hazabbah, Sia, Joyce S. Y.
• Format: Article
• Language: English
• Published: Korean Institute of Communication Sciences 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104298/1/TanTianSwee2022_RetinalDiseaseIdentificationsingpgradedCLAHE.pdf; http://eprints.utm.my/104298/; http://dx.doi.org/10.1016/j.icte.2021.05.002

Retinal tissue plays a crucial part in human vision. Infections of retinal tissue and delayed treatment or untreated infection could lead to loss of vision. Additionally, the diagnosis is prone to errors when huge dataset is involved. Therefore, a fully automated model of identification of retinal d...