Frontiers Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation
U-Net Convolutional Networks for Biomedical Image Segmentation
Clinical target segmentation using a novel deep neural network: double attention Res-U-Net
Weakly Supervised Deep Learning-based Methods for Brain Image Analysis
Frontiers Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation
Modality specific U-Net variants for biomedical image segmentation: a survey
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images, Visual Computing for Industry, Biomedicine, and Art
Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images
Frontiers AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Frontiers IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space
An overview of Unet architectures for semantic segmentation and biomedical image segmentation