Description

Classification of cataract fundus image based on deep learning-Deep Learning projects-Matlab

In this project,classification of cataract fundus image based on deep learning approach. Which is one of the most common diseases that might cause blindness.

In this project we proposed a deep learning based approach, for classification of retinal image. This method focuses on the feature extraction step of retinal image.Firstly, the maximum entropy method is used to preprocess the fundus images. Next, we use deep learning network which is based on Caffe to automatically extract more distinctive features of fundus images.some classification algorithms are used to identify automatically extracted features. Comparing to features extracted by deep learning and wavelet feature extracted from retinal vascular, SVM(support vector machines) and Softmax are usedfor cataract classification. Finally, cataract images are classified into normal, slight, medium or severe four-class.