STARS Talk: "Medical Diagnosis using Artificial Intelligence - Application to Retinal Images"

19jun13:0015:00STARS Talk: "Medical Diagnosis using Artificial Intelligence - Application to Retinal Images"

Event Details

Topic: Medical Diagnosis using Artificial Intelligence – Application to Retinal Images

Speaker: José Sigut Saavedra. University of La Laguna

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Hour: 13:00 (CET)
Abstract: Retinal images contain very useful information for the diagnosis of eye conditions such as diabetic retinopathy, glaucoma or age-related macular degeneration, among others. Artificial intelligence can help the medical specialist make a better diagnosis and detect the pathology at a more incipient stage.

José Sigut.
José Sigut.

About the speaker: José 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.

About STARS Talks: This format of knowledge exchange and interaction is organised by our Challenge Lab. Its monthly webinars will discuss different initiatives based on science, knowledge and innovation that can be useful or inspiring for the development of our regions. Each webinar will include a short dissertation on the chosen topic by the guest speaker, and afterwards the session will be open for dialogue and interaction.

 

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Time

(Wednesday) 13:00 - 15:00

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