Binary segmentation of medical images using implicit spline representations and deep learning
type: Item
instance of: scholarly article
title: Binary segmentation of medical images using implicit spline representations and deep learning
author: Georg Muntingh
author: Varatharajan Nainamalai
author: Ivar Stangeby
author: Oliver J. D. Barrowclough
published in: Computer Aided Geometric Design
publication date: 2021-04-23T00:00:00Z
full work available at URL: https://arxiv.org/abs/2102.12759
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 65D07
zbMATH DE Number: 7337222
zbMATH Keywords: implicit spline representations
zbMATH Keywords: shape modelling
zbMATH Keywords: deep learning
zbMATH Keywords: medical imaging
zbMATH Keywords: image segmentation
describes a project that uses: PyG
describes a project that uses: DISN
describes a project that uses: Cityscapes
describes a project that uses: U-Net
MaRDI profile type: Publication
OpenAlex ID: W3134697290
cites work: Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?
DOI: 10.1016/J.CAGD.2021.101972
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description: scientific article; zbMATH DE number 7337222