Lymphoma segmentation from 3D PET-CT images using a deep evidential network
type: Item
instance of: scholarly article
title: Lymphoma segmentation from 3D PET-CT images using a deep evidential network
author: Ling Huang
author: Su Ruan
author: Pierre Decazes
author: T. Denœux
published in: International Journal of Approximate Reasoning
publication date: 2022-09-02T00:00:00Z
full work available at URL: https://arxiv.org/abs/2201.13078
Mathematics Subject Classification ID: 68T37
zbMATH DE Number: 7581228
zbMATH Keywords: medical image analysis
zbMATH Keywords: Dempster-Shafer theory
zbMATH Keywords: evidence theory
zbMATH Keywords: belief functions
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: deep learning
describes a project that uses: conover.test
describes a project that uses: U-Net
describes a project that uses: V-Net
describes a project that uses: SimpleITK
MaRDI profile type: Publication
OpenAlex ID: W4226109042
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DOI: 10.1016/J.IJAR.2022.06.007
description: scientific article