Recent success in Machine Learning and Deep Learning has attracted a lot of interest in its applications for cancer diagnosis. This seminar will present a suite of methodologies developed for image based computer assisted diagnosis of cancers. In particular, I will present a case study that correlates survival of Renal Cancer patients with computer predictions of cancer severity based on the Furhman grading system.
Lee Hwee Kuan is the Head of the Imaging Informatics division in Bioinformatics Institute. Hwee Kuan also holds multiple concurrent positions as Principal Data Scientist in the Government Technology Agency of Singapore, Adjunct Associate Professorship in National University of Singapore and Principal Scientist position in the Singapore Eye Research Institute. His research involves using advanced computer vision, machine learning and mathematical models to build better machines; for the improvement of health care and discovery of biological knowledge. Hwee Kuan obtained his Ph.D. in Theoretical Physics from Carnegie Mellon University. He then held several postdoctoral positions in Oak Ridge National Laboratory, University of Georgia and Tokyo Metropolitan University. In 2006, he joined Bioinformatics Institute as a Principal Investigator in the Imaging Informatics Division.