澳门十大网赌网址-澳门正规十大娱乐网站

行知论坛230:Digital Image Processing in Ophthalmology

发布人:赵铭洲审核人:张世刚 时间:2019-12-11浏览:406设置

报告主题Digital Image Processing in Ophthalmology

报告时间201912139:30-11:30 ,星期五(Friday)

报告地点澳门十大网赌网址-澳门正规十大娱乐网站4001

(School of Computer Science Building, Room 4001)

邀 请 人:  肖亮 (Liang Xiao)



Schedule

9:30am - 10:30 am

Report:   Prof. Mohamed Abdel-MottalebDigital Image Processing in Ophthalmology


10:30 am - 11:00 am

ReportProf. Liang Xiao,    A brief introduction of Jiangsu Key Lab of Spectral Imaging and Intelligent Sensing

11:00 am -12:00 am

Demo in the lab


Prof. University of Miami ,IEEE Biometrics Compendium的主编,IEEE Fellow


Digital Image Processing in Ophthalmology



In this presentation, we will describe our work on using digital image processing in ophthalmology applications. The first application deals with detecting glaucoma from fundus images of the eye. We developed several deep learning models using transfer learning, semi supervised and self-learning. We show that using deep learning and only fundus images, we obtain performance higher than expert ophthalmologists by a large margin. The second application deals with the segmentation of the eye’s corneal layers and measuring their thickness from Optical Coherence Tomography (OCT) images. This is important because various corneal diseases, such as Fuchs dystrophy, Keratoconus and corneal graft rejection, can be diagnosed based on the changes of the thickness of corneal microlayers. OCT technology made it possible to obtain high resolution corneal images that show the microlayer structures of the cornea. Manual segmentation is subjective and not practical due to the large volume of obtained images. Existing automatic methods, used for segmenting corneal layer interfaces, are not robust and segment fewer corneal microlayer interfaces compared to our method. Our approach segments all the layers of the cornea and the experimental results show its robustness. In the third application we present a system using VR/AR for measuring the visual field of patients with glaucoma and macular degeneration. The system is also used for aiding those patients by manipulating scene images in order to increase their visibility.



BioMohamed Abdel-Mottaleb received the Ph.D. degree in computer science from the University of Maryland, College Park, in 1993. He joined the University of Miami in 2001. Currently, he is a Professor and Chairman of the Department of Electrical and Computer Engineering. His research focuses on biometrics, visual tracking, human activity recognition, and medical image processing. Prior to joining the University of Miami from 1993 to 2000, he was with Philips Research, Briarcliff Manor, NY, where he was a Principal Member of the Research Staff and a Project Leader. At Philips Research, he led several projects in image processing and content-based multimedia retrieval. He represented Philips in the standardization activity of ISO for MPEG-7, where some of his work was included in the standard. He holds 22 U.S. patents and more than 30 international patents. He published more than 150 journal and conference papers in the areas of image processing, computer vision, and content-based retrieval. He serves as the Editor in Chief for the IEEE Biometrics Compendium. He is an IEEE fellow since January 2011.


 BIOMohamed Abdel-Mottaleb1993大学公园分校的算机科学博士学位。他于2001迈阿密大学。目前,他是气和算机工程系的教授兼主任。他的研究重点是生物识别视觉跟踪,人动识别和医学理。在1993年至2000入迈阿密大学之前,他在纽约Briarcliff Manor利浦研究中心是研究人的首席成负责人。在利浦研究中心,他领导了多个理和基于内容的多媒体目。他代表利浦参加了MPEG-7ISO标准化活。他22美国利和30际专利。他在理,算机视觉和基于内容的表了150多篇期刊和会议论文。他是IEEE Biometrics Compendium的主。自20111月起担任IEEE研究


返回原图
/

澳门十大网赌网址|澳门正规十大娱乐网站

XML 地图 | Sitemap 地图