Deep learning models for medical image segmentation can fail unexpectedl...
This paper describes our method for our participation in the FeTA
challe...
The performance of deep neural networks typically increases with the num...
Despite the state-of-the-art performance for medical image segmentation,...
Data augmentation has been widely used for training deep learning system...
Convolutional neural networks (CNNs) have achieved state-of-the-art
perf...
Accurate medical image segmentation is essential for diagnosis, surgical...