Díaz-Pinto, Andrés Yesid; Morales, Sandra; Naranjo Ornedo, Valeriana; Köhler, Thomas; Mossi García, José Manuel; Navea, Amparo(Springer (Biomed Central Ltd.), 2019-03-20)
[EN] Background: 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 ...
[EN] Glaucoma is a chronic eye disease and one of the major causes of permanent blindness. Since it does not show initial symptoms, early diagnosis is important to limit its progression. This paper presents an automatic ...
Díaz Pinto, Andrés Yesid(Universitat Politècnica de València, 2019-07-29)
[ES] Las imágenes de fondo de ojo son muy utilizadas por los oftalmólogos para la evaluación de la retina y la detección de glaucoma. Esta patología es la segunda causa de ceguera en el mundo, según estudios de la Organización ...
[EN] Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to image synthesis and semi-supervised learning, where, given a small labelled database and a large unlabelled database, the ...
The performance of a Glaucoma assessment system is highly affected by the number of labelled images used during the training stage. However, labelled images are often scarce or costly to obtain. In this paper, we address ...