31 citations · 125 across the 24 of their papers we have counts for
4 papers · 1 filter
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training
Zihang Xu, Zhenghua Xu, Shuo Zhang +1
Deep learning based semi-supervised learning (SSL) methods have achieved strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by util…
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement
Xudong Zhang, Bo Wang, Di Yuan +2
Automatic pneumonia Detection based on deep learning has increasing clinical value. Although the existing Feature Pyramid Network (FPN) and its variants have already achieved some…
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism
Di Yuan, Junyang Chen, Zhenghua Xu +3
Because the expansion path of U-Net may ignore the characteristics of small targets, intermediate supervision mechanism is proposed. The original mask is also entered into the netw…
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
Chang Qi, Junyang Chen, Guizhi Xu +3
Recently deep learning methods, in particular, convolutional neural networks (CNNs), have led to a massive breakthrough in the range of computer vision. Also, the large-scale annot…