Optic nerve head segmentation in retinal image data

This diploma thesis deals with the segmentation of the optic disc and cup in retinal image data. The theoretical part of the thesis describes the optic disc and cup and provides an overview of the current state of the art in using machine learning methods for their segmentation. Furthermore, the basic principles and blocks of convolutional neural networks are described. Convolutional neural networks U-Net and its modification nnU-Net were trained on the created databases. These models were tested and the results obtained were discussed and compared with selected published methods. Finally, the models were evaluated in terms of their potential for practical application