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计科讲坛(2022年第三讲):基于机器学习的糖尿病视网膜病变自动检测和分类疾病诊断系统

报告题目:Implementation and use of disease diagnosis systems for automatic diabetic retinopathy detection and classification based on machine learning

BILAL ANAS

内容摘要:

Diabetic retinopathy (DR) is a diabetes-related retinal vascular disease, which is among the world's most common leading causes of blindness and vision impairment. According to the World Health Organization (WHO) report, about 415 million people suffer from diabetes mellitus. The occurrence of this disease has doubled in the last ten years. About 40-45% of diabetes patients are likely to have diabetic retinopathy (DR). Retinal fundus images are captured during the regular retinal screening of diabetic patients. These retinal images require extensive examination by skilled ophthalmologists, which is time-consuming and costly. Moreover, training a new individual for retinal image-based diagnosis is an extensive process because it requires a large amount of expertise through everyday practice. Studies show that 90% of cases can be avoided by early identification and treatment. Therefore, automated DR detection systems would greatly benefit the early screening and treatment of DR and prevent vision loss caused by it.

报告人简介:

Dr. Anas Bilal   (Member, IEEE) received the Ph.D degree in Electronic Science and Technology   from Beijing University of Technology. Before commencing his doctoral   research, he worked as a lecturer in University of Sargodha. He received his   M.S. degree in electrical and electronic systems from the University of   Lahore, Pakistan, in 2016.He has published 6 SCI and 4 EI research papers in   image processing, medical imaging, disease diagnosis and computer vision   domain in reputed journals and conferences. He served as a reviewer with   several journals including IEEE ACCESS, Artificial Intelligence Review,   Journal of Neural Engineering, Computer Methods in Biomechanics and   Biomedical Engineering: Image & Visualization ,Smart Material and   Structures, International Journal of Biomathematics, Journal of Applied   Science and Engineering, IGI Global, Advances in Science, Technology and   Engineering System Journal, and  Progress in Biomedical Engineering .His   research interests include medical image analysis, computer vision, machine   learning, sentiment analysis, pattern recognition, and signal & image   processing.


会议时间:2022224日(周四) 1410

腾讯会议ID: 138-426-280

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