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U-Net

U-Net is a convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation. Segmentation of a 512 × 512 image takes less than a second on a modern (2015) GPU using the…

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Overview

Description

Network architecture

Applications

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Map overview Semantic statistics

U-Net

Nodes23
Edges22
Triples38
Avg. degree1.91
Density0.086957
Components1

How this topic connects Entity context

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U-Net

Top relations

has application · 15
U-Net → BRATS, CT, Here, Image Segmentation, Image-to-image, ImageNet, Learning Dense Volumetric Segmentation, MRI, Pixel-wise, Sparse Annotation, Specific, TernausNet, There, Variations, VGG11 Encoder Pre-Trained
related to history · 11
U-Net → Biomedical Image Segmentation, Convolutional Networks, Evan Shelhamer, FCN, Fully, It, Jonathan Long, Olaf Ronneberger, Philipp Fischer, Thomas Brox, Trevor Darrell
related to Implementations · 8
U-Net → Akeret, Computer Science Department, Freiburg, Germany, Image Processing, Pattern Recognition, Tensorflow Unet, University
related to Description · 3
U-Net → Hence, The, The U-Net
is a · 1
U-Net → convolutional neural network that was developed for image segmentation

Important terminology Word statistics

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Important terminology

image segmentation network architecture convolutional also models contracting fully layers information path based neural modern diffusion applications gpu resolution feature

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
U-Netis aconvolutional neural network that was developed for image segmentation0.90text
U-Nethas applicationThere0.60section
U-Nethas applicationCT0.60section
U-Nethas applicationMRI0.60section
U-Nethas applicationSpecific0.60section
U-Nethas applicationBRATS0.60section
U-Nethas applicationVariations0.60section
U-Nethas applicationHere0.60section
U-Nethas applicationPixel-wise0.60section
U-Nethas applicationLearning Dense Volumetric Segmentation0.60section
U-Nethas applicationSparse Annotation0.60section
U-Nethas applicationTernausNet0.60section

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    Min side: 3
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