/OCT

Did comparative study of image classification accuracy by feeding 84,495 images, 4 categories OCT images into different pre-trained Keras models

Primary LanguageJupyter Notebook

Classification of Optical Coherence Tomography images to detect retinal diseases like choroidal neovascularization (CNV), Diabetic macular edema (DME) and Multiple Drusen. Did comparative study of image classification accuracy by feeding these 84,495 images, 4 categories OCT images into different pre-trained Keras models