-
A Petri Dish for Histopathology Image Analysis
With the rise of deep learning, there has been increased interest in usi...
01/29/2021 ∙ by Jerry Wei, et al. ∙
0
∙
share
read it
-
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...
10/30/2020 ∙ by Mengdan Zhu, et al. ∙
16
∙
share
read it
-
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Applying curriculum learning requires both a range of difficulty in data...
09/29/2020 ∙ by Jerry Wei, et al. ∙
0
∙
share
read it
-
Difficulty Translation in Histopathology Images
The unique nature of histopathology images opens the door to domain-spec...
04/27/2020 ∙ by Jerry Wei, et al. ∙
0
∙
share
read it
-
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Federated Learning is a new distributed learning mechanism which allows ...
11/22/2019 ∙ by Shengwen Yang, et al. ∙
0
∙
share
read it
-
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
We present an image translation approach to generate augmented data for ...
10/13/2019 ∙ by Jerry Wei, et al. ∙
29
∙
share
read it
-
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...
09/27/2019 ∙ by Jason W. Wei, et al. ∙
0
∙
share
read it
-
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach
Celiac disease prevalence and diagnosis have increased substantially in ...
01/31/2019 ∙ by Jason W. Wei, et al. ∙
0
∙
share
read it
-
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images
Deep learning for classification of microscopy images is challenging bec...
11/20/2018 ∙ by Naofumi Tomita, et al. ∙
2
∙
share
read it
