1.7k citations · 1.7k across the 2 of their papers we have counts for
2 papers
cs.CL2020★ 2 cited
The Utility of General Domain Transfer Learning for Medical Language Tasks
Daniel Ranti, Katie Hanss, Shan Zhao +4
The purpose of this study is to analyze the efficacy of transfer learning techniques and transformer-based models as applied to medical natural language processing (NLP) tasks, spe…
cs.CV2018★ 1.7k cited
Confounding variables can degrade generalization performance of radiological deep learning models
John R. Zech, Marcus A. Badgeley, Manway Liu +3
Early results in using convolutional neural networks (CNNs) on x-rays to diagnose disease have been promising, but it has not yet been shown that models trained on x-rays from one…