TIGP (SNHCC) --Deep Learning Assisted Medical Images Analysis for Automatic Localization of Ischemic Stroke Infarct
- LecturerProf. Prasan Kumar Sahoo (Chang Gung University)
Host: TIGP (SNHCC) - Time2024-09-09 (Mon.) 14:00 ~ 16:00
- LocationWebex 線上會議：請見摘要頁
Live Stream
https://asmeet.webex.com/asmeet/j.php?MTID=maae2bec53817e861e2f918ed59c045ce
Abstract
Early detection of disease to receive emergency treatment has always been a challenging task. Huge volume of images and clinical data are generated when a brain stroke patient is admitted to the emergency department of a hospital. Doctors may use varieties of images such as Computed Tomography (CT), Computed Tomographic Angiography (CTA), and Magnetic Resonance Image (MRI) for disease diagnosis. Those collected images are highly unstructured and are stored in DICOM and JPG format. Deep learning is part of Artificial Intelligence (AI) that mimics the workings of the human brain in analyzing different formats of image data for use in classifying, localizing, detecting, and segmenting the medical images. In this talk, applications of Deep Learning models will be discussed to analyze the Acute Ischemic Stroke (AIS) patient’s CT scan images for classifying and localizing the ischemic stroke infarct automatically.
BIO
Prasan Kumar Sahoo received the M.Sc. in mathematics from Utkal University, India and M. Tech. in computer science from the Indian Institute of Technology (IIT), Kharagpur, India in 1994 and 2000, respectively. He received the 1st Ph.D. degree in mathematics from Utkal University, in 2002, and the 2nd Ph.D. degree in computer science & engineering from the National Central University, Taiwan, in 2009. He is a Professor in the Department of Information Engineering, Chang Gung University, Taiwan, Director of Artificial Intelligence & Big Data Computing Lab and has been Adjunct Research Fellow in the Department of Brain Neurology, Department of Colon and Rectum Cancer and Department of Cardiology, Linkou Chang Gung Memorial Hospital, Taiwan. For the past several years, he has been working closely with Radiologist, Pathologist, Neurologist, Surgeons and Physicians of Chang Gung Memorial Hospital, Taiwan in the area of AI, clinical, and medical images data analysis. He has been listed as the “World's Top 2% Scientists” both with career-long and Single Year Impacts consecutively for three years till 2023 released by Stanford University. He has received the Excellent PhD Thesis award for advising the work on application of AI in colorectal cancer detection and has received Top 5% Special Research Talent Award from the Ministry of Science and Technology, Taiwan, consecutively for the past 4 years. He is Editor of Elsevier’s JNCA, Inderscience’s IJVICS and Electronics journal. He has executed 45 projects funded by the Ministry of Science and Technology, Taiwan, Department of Science & Technology (DST), India, MOE, Taiwan and Chang Gung Medical Foundation, Taiwan as PI and has authored more than 100 research articles in high ranking and high impart factor journals. He has published 3 books, 9 book chapters and his article has got Best Paper award in international conference on AI in 2020, best innovation award on stroke research in 2024. He is the Keynote speaker of international conferences organized in Taiwan, Sweden, Germany and India.