Plenary Talk

Jose Sigut graduated in Physics from the University of La Laguna in 1993 and received his PhD from the same university in 2002. He is currently Associate Professor at the Department of Computer and Systems Engineering and head of the multidisciplinary group MIAG (Medical Image Analysis Group) formed by members of the Department and the University Hospital of the Canary Islands. His research activity is mainly focused on the application of Computer Vision and Deep Learning techniques to the automation of diagnosis in the medical field. As a result of this activity, he is co-author of 48 journal articles. He has also published and disseminated the results of his research in 63 conferences. In addition, he has been a visiting professor at the University of Queensland, the Technical University of Munich, the University of Genoa and the University of Iowa.

Medical Diagnosis using Artificial Intelligence – Application to Retinal Images

Artificial intelligence can help the medical specialist to make a better diagnosis and detect a pathology at an early stage. Specifically, retinal images can contain very useful information for the diagnosis of eye conditions such as diabetic retinopathy, glaucoma or age-related macular degeneration, among others. Such diseases can become a major public health problem. This talk aims to provide an overview of the application of artificial intelligence techniques to this problem, showing the current situation and some of the future challenges that lie ahead.

Program

The SASYR program can be downloaded here:

Publication

4th Symposium of Applied Science for Young Researchers: Book of Abstracts

4th Symposium of Applied Science for Young Researchers: Proceedings