Title: Recent Research On Detection Of Vulnerable Plaque In Virtual Histology Intravascular Ultrasound Images
| Date and Time of Talk: | 15-December-2021 | 12:10 -13:00 |
Abstract:
Virtual Histology Intravascular Ultrasound (VH-IVUS) image has been developed as a clinically available tools to diagnosis the thin cap fibroatheroma plaque that is responsible for coronary artery disease. Segmentation is considered as the essential step for plaque characterization; however, this step is time-consuming procedure and depends on the observer’s capability. VH-IVUS image, especially at the edges of each plaque component, may not involves the unique intensities. Therefore, segmentation of the overlapped tissue can be difficult. In this study, hybrid models have been proposed to accurately segment the VH-IVUS image. Therefore, semi-supervised models of hybrid Fuzzy C-Means (FCM) with k-nearest neighbor (kNN), minimum Euclidian distance, and Support Vector Machine (SVM) are adapted to improve the segmentation results. Proposed approaches is applied for 589 in-vivo images of 10 patients. The accurate classification result of the semi-supervised models is obtained using the silhouette validity index.
Biography
Prof. Ali Selamat has received a B.Sc. (Hons.) in IT from Teesside University, U.K. and M.Sc. in Distributed Multimedia Interactive Systems from Lancaster University, U.K. in 1997 and 1998, respectively. He has received a Dr. Eng. degree from Osaka Prefecture University, Japan, in 2003.
Prof. Ali Selamat is currently a Dean of Malaysia Japan International Institute of Technology (MJIIT), which is an educational institute that is established by the Ministry of Higher Education Malaysia to enhance Japanese Oriented Engineering Education in Malaysia and Asia with the support from the Government of Japan through Japanese International Cooperation Agency (JICA) and Universiti Teknologi Malaysia (UTM) together with 29 Japanese University Consortium (JUC). Before that, he was a Chief Information Officer (CIO) and a Director of Communication and Information Technology Director, UTM. He is currently elected as a Chair of IEEE Computer Society, Malaysia Section under the Institute of Electrical and Electronics Engineers (IEEE), USA, and a Malaysia Engineering Deans Council member. He was previously assuming the position of research Dean on Knowledge Economy Research Alliance, UTM.
He was a principal consultant of Big Data Analytics, Ministry of Higher Education, Malaysia 201, and currently, a member of Malaysia Artificial Intelligence Roadmaps (2020-2021) and a keynote speaker in many international conferences. He was a visiting professor at Kuwait University and few other universities in Japan, Saudi Arabia, and Indonesia. Currently, he is a visiting professor at Hradec-Kralove University, Czech Republic, and Kagoshima Institute of Technology, Japan.
Currently, he is serving as the Editorial Boards of International Journal of Knowledge-Based Systems Elsevier, Netherlands, International Journal of Information and Database Systems (IJIIDS) under Inderscience Publications, Switzerland, and Vietnam Journal of Computer Science under Springer Publications. He is the Program co-chair of IEA/AIE 2021: The 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems in Kuala Lumpur, Malaysia.
His research interests include data analytics, digital transformations, knowledge management in higher educations, key performance indicators, cloud-based software engineering, software agents, information retrievals, pattern recognition, genetic algorithms, neural networks, and soft-computing.