An implementation of "Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations" in MATLAB.
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Updated
Aug 25, 2018 - MATLAB
An implementation of "Fundus Image Transformation Revisited: Towards Determining More Accurate Registrations" in MATLAB.
The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy
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