Grade classification in colon cancer

This work is being done in collaboration with the GE Global Research Center in New York. The cancer diagnostic workflow is typically performed by highly specialized and trained pathologists, for which analysis is expensive both in terms of time and money. This work focuses on grade classification in colon cancer. The analysis is performed over 61 protein markers; like E-cadherin, beta actin and Pan-keratin. Various computer vision, image analysis, machine learning and statistical methods are being explored for analysis.