Open Talk: Serestina Viriri

March 13, 2025

12:30 p.m. - 1:30 p.m. CAT

F307

Deep Computer Vision in Medical Image Analysis

Speaker: Serestina Viriri (University of KwaZulu-Natal, South Africa)

Abstract: Artificial intelligence (AI) has become one of the most recent tools that is progressively implemented across all sectors, such as finance, healthcare, etc. Machine learning and computer vision are AI-powered techniques that can make sense of data, and process, interpret and recognize visual data. Machine learning leverages the insight that learning is a dynamic process made possible through observations and experiences as opposed to pre-defined rules. Computer vision extends human vision to the visual world. Deep computer vision (deep learning + computer vision) has achieved excellent results in real-world complex problems of visual information analysis and interpretation especially in the field of medical image analysis. For example, deep computer vision-based frameworks have shown excellent results in skin lesion detection and classification tasks.

Bio: Serestina Viriri is a full professor of computer science in the School of Mathematics, Statistics, and Computer Science at the University of KwaZulu-Natal, South Africa. He is the former Head of the Computer Science discipline and currently serves as the Dean and Head of the School.

With over two decades in academia, Viriri’s research focuses on artificial intelligence, computer vision, image processing, machine learning, medical image analysis, pattern recognition, and related fields such as biometrics, medical imaging, and nuclear medicine. His extensive research has been published in numerous accredited artificial intelligence and computer vision journals as well as international and national conference proceedings.

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