13 citations · 15 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.CV2017★ 13 cited
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind, Anthony Costa, Marcus Badgeley +2
3D shape models that directly classify objects from 3D information have become more widely implementable. Current state of the art models rely on deep convolutional and inception m…