CNNs for automatic glaucoma assessment using fundus images: an extensive validation

Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the...

Source: BioMedical Engineering OnLine - March 20, 2019 Category: Biomedical Engineering Authors: Andres Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas K öhler, Jose M. Mossi and Amparo Navea Tags: Research Source Type: research