Eye-diseases-classification and ocular-disease-classification
These are **competitors**: both implement multiclass CNN-based classification of ocular diseases from fundus/retinal images, targeting the same use case with overlapping functionality and no technical interdependence.
About Eye-diseases-classification
somaiaahmed/Eye-diseases-classification
The Eye Disease Classification project aims to develop a robust model for the automated classification of retinal images . Leveraging a diverse dataset sourced from reputable repositories, the project employs a Convolutional Neural Network (CNN) architecture, with a focus on utilizing the pre-trained VGG19 model.
About ocular-disease-classification
YgLK/ocular-disease-classification
Multiclass classification of eye diseases based on eye fundus images using CNNs
This project helps ophthalmologists and optometrists quickly screen for common eye diseases. It takes a fundus image of a patient's eye and classifies it as 'Normal,' 'Cataract,' or 'Myopia,' providing a rapid initial assessment. It is designed for eye care professionals or medical technicians who need to analyze eye scans efficiently.
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