Computational Imaging and Predictive Modeling in Pathology

Seminar Date: 
2016-01-29
Seminar Time: 
11am - 12pm
Seminar Location: 
5607 Baum Boulevard, Room 407A
Presenter: 
Gustavo Rohde, PhD

In this talk we describe a new set of computational tools for manipulating pixel intensities based on optimal transport and hierarchical learning. We will show how these methods can be used to uncover predictive information that is too complex to be extracted by visual examination of raw image data. We will demonstrate these concepts in tasks related to drug discovery, diagnosis of cytology and histopathology images, acinar tissue quantification in pancreatitis from histology, amongst other applications.

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