UAGAN unifies modality translation and tumor segmentation in one attentional GAN model that works on unpaired multimodal brain images and outperforms prior methods in most tested cases.
In: Pro- ceedings of the IEEE Conference on Computer Vision and Patte rn Recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images
UAGAN unifies modality translation and tumor segmentation in one attentional GAN model that works on unpaired multimodal brain images and outperforms prior methods in most tested cases.