Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation
L Qian, C Wen, Y Li, Z Hu, X Zhou, X Xia… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Medical image segmentation has garnered significant
research attention in the neural network community as a fundamental requirement for …
research attention in the neural network community as a fundamental requirement for …
Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation
L Qian, C Wen, Y Li, Z Hu, X Zhou… - … and programs in … - pubmed.ncbi.nlm.nih.gov
Background and objective Medical image segmentation has garnered significant research
attention in the neural network community as a fundamental requirement for developing …
attention in the neural network community as a fundamental requirement for developing …
Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation.
L Qian, C Wen, Y Li, Z Hu, X Zhou, X Xia… - Computer Methods and …, 2023 - europepmc.org
Method In this study, we propose UNet_sharp (UNet#), a novel network topology named
after the"#" symbol, which combines dense skip connections and full-scale skip connections …
after the"#" symbol, which combines dense skip connections and full-scale skip connections …
Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation
L Qian, C Wen, Y Li, Z Hu, X Zhou, X Xia, SH Kim - 2024 - dl.acm.org
Abstract Background and Objective Medical image segmentation has garnered significant
research attention in the neural network community as a fundamental requirement for …
research attention in the neural network community as a fundamental requirement for …