Retinal disease identification using upgraded CLAHE filter and transfer convolution neural network
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Institute of Communication Sciences
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/104298/1/TanTianSwee2022_RetinalDiseaseIdentificationsingpgradedCLAHE.pdf |