Deep Learning Algorithms for Age-Related Macular Degeneration

B. Liefers

  • Promotor: B. van Ginneken, C. GutiĆ©rrez and C. Hoyng
  • Copromotor: T. Theelen
  • Graduation year: 2022
  • Radboud University, Nijmegen

Abstract

This thesis is devoted to the applications of deep learning algorithms for automated analysis of retinal images.

In contains chapters on:

  1. Automatic detection of the foveal center in OCT scans (Chapter 2);

  2. Segmentation of retinal layers and geographic atrophy (Chapter 3);

  3. Segmentation of geographic atrophy on color fundus (Chapter 4);

  4. Quantification of key retinal features in early and late AMD. (Chapter 5).