Digital Pathology: Precision Medicine, Deep Learning and Computer Aided Interpretation
In this presentation, I will survey the development of Digital Pathology methodology beginning with the 1997 virtual microscope prototype at Hopkins to current tools, methods and algorithms designed to display, analyze and classify whole slide imaging data. I will describe methods, tools and algorithms to extract information from Pathology images. These tools include ability to traverse whole slide images, segment nuclei, carry out deep learning region classification and characterize relationship between extracted features and morphological structures. I will also describe some of the research efforts that motivate development of these tools, the role Pathomics is playing in precision medicine research as well as the impact of Pathology Informatics on clinical practice and health care quality.