2 papers
eess.IV2021
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement. To make the domain adaptation more controllable, we disentan…
cs.CY2020
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern…