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20182022
most citedGenerative Image Translation for Data Augmentation in Colorectal Histopathology Images

49 citations · 72 across the 9 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

stat.AP20191 cited

Predicting colorectal polyp recurrence using time-to-event analysis of medical records

Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata +2

Identifying patient characteristics that influence the rate of colorectal polyp recurrence can provide important insights into which patients are at higher risk for recurrence. We…

eess.IV201949 cited

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images

Jerry Wei, Arief Suriawinata, Louis Vaickus +4

We present an image translation approach to generate augmented data for mitigating data imbalances in a dataset of histopathology images of colorectal polyps, adenomatous tumors th…

eess.IV2019

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus +10

Histological classification of colorectal polyps plays a critical role in both screening for colorectal cancer and care of affected patients. An accurate and automated algorithm fo…

cs.CV2019

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks

Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik +3

Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade and treatment for patients. However, this task is often challenging due to the…

cs.CV20192 cited

Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach

Jason W. Wei, Jerry W. Wei, Christopher R. Jackson +3

Celiac disease prevalence and diagnosis have increased substantially in recent years. The current gold standard for celiac disease confirmation is visual examination of duodenal mu…

cs.CL2019

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Jason Wei, Kai Zou

We present EDA: easy data augmentation techniques for boosting performance on text classification tasks. EDA consists of four simple but powerful operations: synonym replacement, r…