Browsing University of Waterloo by Subject "histopathology"
Now showing items 1-4 of 4
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Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Histopathology Image Analysis and NLP for Digital Pathology
(University of Waterloo, 2021-08-27)Information technologies based on ML with quantitative imaging and texts are playing an essential role, particularly in general medicine and oncology. DL in particular has demonstrated significant breakthroughs in Computer ... -
Out-of-Distribution Generalization of Gigapixel Image Representation
(University of Waterloo, 2023-08-18)This thesis addresses the significant challenge of improving the generalization capabilities of artificial deep neural networks in the classification of whole slide images (WSIs) in histopathology across different and ... -
Set Representation Learning: A Framework for Learning Gigapixel Images
(University of Waterloo, 2021-09-13)In Machine Learning, we often encounter data as a set of instances such Point Clouds (set of x,y, and z coordinates), patches from gigapixel images (Digital Pathology, Satellite Imagery, Astronomical Images, etc.), Weakly ...