Developing a Compound Computational Pathology Workflow for Automated and Integrated Analyses of Morphologic and Molecular Histopathological Features: T-CAIREM Trainee Rounds
The Temerty Medicine Centre for Artificial Intelligence is holding a series of AI seminars.
This competitive seminar series highlights innovative research at the intersection of artificial intelligence (AI) and healthcare across the University of Toronto’s graduate and professional programs. The selected researchers discuss their project during one-hour virtual seminars with AI in healthcare leaders.
Speaker: Michael Kyung Ik Lee
MSc candidate in the lab of Dr. Phedias Diamandis
Talk title
Developing a Compound Computational Pathology Workflow for Automated and Integrated Analyses of Morphologic and Molecular Histopathological Features
Abstract
Despite recent innovations in deep learning, attempts to automate the integration of histomorphologic and molecular information found on respective H&E- and IHC-stained tissue sections are scarce. In this presentation, I will discuss how I have developed a fully automated workflow that incorporates both H&E-stained sections and their accompanying IHC studies using computer vision tools, such as deep learning and scale-invariant feature transform (SIFT). I will also be discussing the performance of the workflow on analysis and subclassification tasks of diffuse glioma cases as a proof-of-concept.
About Michael
Mr. Lee holds an Honours Bachelor of Science from the University of Toronto with a Specialization in Pathobiology, Major in Biochemistry, and a Minor in Latin. He recently defended his thesis for Master of Science in Laboratory Medicine & Pathobiology. During his undergraduate studies, Lee was involved with basic science research on epigenetic pathways of endothelial cells, completing an undergraduate thesis in Dr. Philip Marsden’s laboratory. For his master’s, he branched out to learn more about digital pathology, a dynamic field that can revolutionize diagnostic pathology, and in turn contribute to the development of various computational tools to move the field forward.
Find out more about the event and the other presenter, Brokoslaw Laschowski, Postdoctoral research fellow, Temerty Faculty of Medicine and the Toronto Rehabilitation Institute