Date: 23 March 2016
Time: 12:00 - 13:00
Location: Wolfson Lecture Theatre, Computing, Queen Mother Building
Host: Prof. Stephen McKenna
Title: Digital Pathology Image Analysis – Challenges and Opportunities
Abstract: The emerging discipline of Digital Pathology is poised to change the status quo in pathology practice for the better. A pathology department in a medium-sized hospital deals with a workload of about 100,000 tissue slides every year, resulting in approximately 50TB of high-resolution image data, compressed in a near-lossless manner, per annum. The sheer size of multi-gigapixel images produced by digital slide scanners poses interesting technical challenges. On the other hand, the heap of image data linked with associated clinical and genomic data is a potential goldmine of invaluable information, as each high-resolution image contains information about tens of thousands of cells and their spatial relationships with each other. I will present some of the recent developments in our group concerning digital pathology image analysis and tissue morphometrics from images of cancerous tissue slides. I will then discuss some of the main challenges in digital pathology and opportunities for exploring new unchartered territories.
Short Biography: Dr. Nasir Rajpoot is an Associate Professor (Reader) in the Department of Computer Science at the University of Warwick, UK. He is the founding Head of the BioImage Analysis (BIA) lab at Warwick since 2012, and an Honorary Scientist at the University Hospitals Coventry & Warwichshire, UK since Sep 2015. Dr Rajpoot received his PhD in digital image processing from the University of Warwick in 2001. During his PhD, he was a postgraduate research fellow in the Applied Mathematics program at Yale University, USA during 1998-2000. His research interests lie in digital pathology image analysis, multiplex biomarkers in cancer, and pattern recognition. Recent focus of research in his group has been twofold: multi-scale modelling of objects of interest in histology images, and analysis of molecular expression patterns in multi-stain microscopy images. Dr Rajpoot has published over 100 articles in the areas of histology image analysis, pattern recognition, and image coding in journals of international repute and in proceedings of highly reputable international conferences. His group won the MITOS-ATYPIA challenge contest on nuclear atypia scoring in breast cancer histology images held in conjunction with ICPR’2014, and was ranked among the top three contestants in the AMIDA challenge contest on mitotic cell detection in breast histology images held in conjunction with MICCAI’2013. Recently, a paper by his lab on the detection of epithelial tumour cells in cancer histology images won the Best Paper award at the Patch-based Medical Imaging (PMI) workshop held in conjunction with MICCAI’2015 in Munich in Oct 2015. Dr Rajpoot has co-chaired several meetings in the area of histopathology image analysis (HIMA) since 2008. He was the General Chair of the UK Medical Image Understanding and Analysis (MIUA) conference in 2010, and the Technical Chair of the British Machine Vision Conference (BMVC) in 2007. He has guest edited a special issue of Machine Vision and Applications on Microscopy Image Analysis and its Applications in Biology in 2012, and a special section on Multivariate Microscopy Image Analysis in the IEEE Transactions on Medical Imaging in 2010. He is a Senior Member of IEEE and member of the ACM, the British Association of Cancer Research (BACR), and the European Association of Cancer Research (EACR).