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01/29/2021
A Petri Dish for Histopathology Image Analysis
With the rise of deep learning, there has been increased interest in usi...
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10/30/2020
Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides
Renal cell carcinoma (RCC) is the most common renal cancer in adults. Th...
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09/29/2020
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Applying curriculum learning requires both a range of difficulty in data...
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04/27/2020
Difficulty Translation in Histopathology Images
The unique nature of histopathology images opens the door to domain-spec...
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11/22/2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Federated Learning is a new distributed learning mechanism which allows ...
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10/13/2019
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
We present an image translation approach to generate augmented data for ...
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09/27/2019
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation
Histological classification of colorectal polyps plays a critical role i...
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01/31/2019
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Celiac disease prevalence and diagnosis have increased substantially in ...
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11/20/2018
