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Chapter and Conference Paper
Calibrating Histopathology Image Classifiers Using Label Smoothing
The classification of histopathology images fundamentally differs from traditional image classification tasks because histopathology images naturally exhibit a range of diagnostic features, resulting in a dive...
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Chapter and Conference Paper
A Petri Dish for Histopathology Image Analysis
With the rise of deep learning, there has been increased interest in using neural networks for histopathology image analysis, a field that investigates the properties of biopsy or resected specimens traditiona...
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Chapter and Conference Paper
Difficulty Translation in Histopathology Images
The unique nature of histopathology images opens the door to domain-specific formulations of image translation models. We propose a difficulty translation model that modifies colorectal histopathology images t...
