Closed somaiaahmed closed 4 months ago
Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.
@TAHIR0110 plzz assign it to me and put the appropriate labels
@somaiaahmed go ahead
Is there an existing issue for this?
Feature Description
The feature request involves developing a Deep Learning (DL) model specifically designed to classify various eye diseases, including cataracts, glaucoma, diabetic retinopathy, along with a category for normal eye conditions. This model aims to provide accurate automated diagnosis based on input images of the eye.
Use Case
Implementing a DL model for eye disease classification would enhance the project by providing a powerful tool for automated, accurate, and scalable diagnosis, thereby improving patient care, supporting research efforts, and advancing the field of ophthalmology.
Benefits
Integrating a Deep Learning model for eye disease classification brings a multitude of benefits, ranging from enhanced diagnostic capabilities and efficiency to broader societal impacts through improved healthcare access and research advancements. These benefits collectively contribute to advancing healthcare delivery and improving patient outcomes in the field of ophthalmology.
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Model Evaluation
Priority
High
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