TUT-1: Microscopic Image Processing and Analysis Techniques

Date: Sunday Morning, October 12

Presented by

Metin N. Gurcan, Ohio State University


Recent advances in hardware and software have made it possible to create digital microscopic scans of whole slides. These images are relatively large (100k x 100k) and in color, hence processing them present new challenges. Although this research area is getting increasingly popular, it does not receive enough attention in the current curriculum. This tutorial will introduce the current challenges, recent advances and innovations in this newly developing area while reviewing several frequently used image processing techniques in this context. Both biological and medical microscopic image analysis topics with applications to computer-aided diagnosis and prognosis will be covered. This tutorial will be taught from the perspective of a researcher, who carried out medical image analysis and processing research for over 10 years both in academia and industry.


The tutorial will be presented in two sessions with a short break in between them.

Speaker Biography

Dr. Gurcan received his BSc. and Ph.D. degrees in Electrical and Electronics Engineering from Bilkent University, Turkey and his MSc. Degree in Digital Systems Engineering from the University of Manchester Institute of Science and Technology, England. During the winters of 1996 and 1997 he was a visiting researcher at the University of Minnesota, Minneapolis. From 1999 to 2001, he was a postdoctoral research fellow and later a research investigator in the Department of Radiology at the University of Michigan, Ann Arbor. Prior to joining the faculty of the Biomedical Informatics Department at the Ohio State University, he worked as a senior researcher and product director at a high-tech company, specializing in computer-aided detection and diagnosis of cancer from radiological images. His research interests include image analysis and understanding, computer vision with applications to biology and medicine. Dr. Gurcan is the recipient of the British Foreign and Commonwealth Organization Award, National Cancer Institute’s caBIG Embodying the Vision Award and a Senior Member of the IEEE.