Deep convolutional neural networks with spatial regularization, volume and star-shape priors for image segmentation
type: Item
instance of: scholarly article
title: Deep convolutional neural networks with spatial regularization, volume and star-shape priors for image segmentation
author: Jun Liu
author: Xiangyue Wang
author: Xue-Cheng Tai
published in: Journal of Mathematical Imaging and Vision
publication date: 2022-12-09T00:00:00Z
full work available at URL: https://arxiv.org/abs/2002.03989
Mathematics Subject Classification ID: 68-XX
Mathematics Subject Classification ID: 94-XX
zbMATH DE Number: 7630562
zbMATH Keywords: image segmentation
zbMATH Keywords: DCNN
zbMATH Keywords: threshold dynamics
zbMATH Keywords: spatial regularization
zbMATH Keywords: entropic regularization
zbMATH Keywords: volume preserving
zbMATH Keywords: star-shape
describes a project that uses: DeepLab
describes a project that uses: Skin-Lesion-Analyzer
describes a project that uses: CCNet
describes a project that uses: GrabCut
describes a project that uses: U-Net
describes a project that uses: SegNet
MaRDI profile type: Publication
OpenAlex ID: W4224024937
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DOI: 10.1007/S10851-022-01087-X
description: scientific article; zbMATH DE number 7630562