Optical coherence tomography (OCT) can achieve the high-resolution 3D tomography imaging of the retina, which is crucial for the diagnosis of retinal diseases. Currently, the classification of retinal OCT images is mainly conducted by ophthalmologists, which is time consuming and subjective. In this paper, we propose an iterative fusion convolutional neural network (IFCNN) method for the automatic classification of retinal OCT image. In the convolutional neural network (CNN), different convolutional layers contain feature information from different scales. Therefore, the proposed network adopt...
