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Nasir Rajpoot

Nasir Rajpoot

Associate Professor

Title: Digital pathology image analysis: Challenges and opportunities

Biography

Biography: Nasir Rajpoot

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 50 TB 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.