4 papers
PLU-Net: Extraction of multi-scale feature fusion
Weihu Song
Deep learning algorithms have achieved remarkable results in medical image segmentation in recent years. These networks are unable to handle with image boundaries and details with…
Patch Network for medical image Segmentation
Weihu Song, Heng Yu, Jianhua Wu
Accurate and fast segmentation of medical images is clinically essential, yet current research methods include convolutional neural networks with fast inference speed but difficult…
Non-pooling Network for medical image segmentation
Weihu Song, Heng Yu
Existing studies tend tofocus onmodel modifications and integration with higher accuracy, which improve performance but also carry huge computational costs, resulting in longer det…
GPU-Net: Lightweight U-Net with more diverse features
Heng Yu, Di Fan, Weihu Song
Image segmentation is an important task in the medical image field and many convolutional neural networks (CNNs) based methods have been proposed, among which U-Net and its variant…