Vision graph U-Net: geometric learning enhanced encoder for medical image segmentation and restoration

DOI10.3934/IPI.2023049MaRDI QIDQ6495827

Qiaoqiao Ding, Xiaoqun Zhang, Yuanhong Jiang, Yu Guang Wang, Pietro Lio

Publication date: 2 May 2024

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

zbMATH Keywords

geometric deep learningself-attentionknowledge-driven deep unrolling schememulti-modality medical image segmentationvision graph U-Net

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Solving ill-posed inverse problems using iterative deep neural networks
• Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
• Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
• A regularized convolutional neural network for semantic image segmentation

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