By A Mystery Man Writer
The proposed U-Net Architecture with 8 layers. The 8-layer deep U-Net
Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images - Punn's Deep Learning Blog
Wenqing FENG, Doctor of Philosophy, Hangzhou Dianzi University, Hangzhou, School of Computer Science
Weiming HUANG, Wallenberg Postdoc, Ph.D. in Geoinformatics (Lund), Nanyang Technological University, Singapore, ntu
A novel deep learning based hippocampus subfield segmentation method
My experiment with UNet - building an image segmentation model
PDF) Water Body Extraction From Very High-Resolution Remote Sensing Imagery Using Deep U-Net and a Superpixel-Based Conditional Random Field Model
Underline CT-UNet: An Improved Neural Network Based on U-Net for
Biomedical Image Segmentation - UNet++ - Hong Jing (Jingles)
The architecture of the proposed deep U-Net. The arrows denote the
U-Net combined with multi-scale attention mechanism for liver segmentation in CT images, BMC Medical Informatics and Decision Making
Forests, Free Full-Text
Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net
PDF] Road Extraction by Deep Residual U-Net
DU-Net-Cloud: a smart cloud-edge application with an attention mechanism and U-Net for remote sensing images and processing, Journal of Cloud Computing