BalajiAI/Diabetic-Retinopathy-Detection-using-Deep-learning
A Convolutional Neural Network (CNN) which can detect the stages of Diabetic retinopathy.
This tool helps ophthalmologists and optometrists quickly assess fundus photographs for signs of diabetic retinopathy. You provide an image of a patient's retina, and it classifies the image into one of five stages of diabetic retinopathy: Normal, Mild, Moderate, Severe, or Proliferative. This is designed for eye care professionals to aid in early detection and treatment planning.
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Use this if you need an automated initial screening or a second opinion for detecting and staging diabetic retinopathy from retinal images.
Not ideal if you require a definitive diagnosis without human oversight, as this tool is an aid and not a replacement for a clinician's judgment.
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11
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3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 16, 2021
Commits (30d)
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