Automatic extraction of cell nuclei using dilated convolutional network
type: Item
instance of: scholarly article
title: Automatic extraction of cell nuclei using dilated convolutional network
zbMATH Open document ID: 1466.62413
author: Rajendra K. C. Khatri
author: Brendan J. Caseria
author: Yifei Lou
author: Guanghua Xiao
author: Yan Cao
published in: Inverse Problems and Imaging
publication date: 2021-06-03T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H35
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 7354115
zbMATH Keywords: convolution
zbMATH Keywords: dilated convolution
zbMATH Keywords: semantic segmentation
zbMATH Keywords: deep learning
zbMATH Keywords: histopathology image
describes a project that uses: AlexNet
describes a project that uses: SegNet
describes a project that uses: U-Net
describes a project that uses: Matlab
describes a project that uses: ImageNet
describes a project that uses: Adam
describes a project that uses: DeepLab
describes a project that uses: DeconvNet
MaRDI profile type: Publication
full work available at URL: ipi.2020049
OpenAlex ID: W3047500362
cites work: Q4818010
cites work: Efficient nonsmooth nonconvex optimization for image restoration and segmentation
DOI: 10.3934/IPI.2020049
Recommended article: Unsupervised cell nucleus segmentation with active contours.
description: scientific article; zbMATH DE number 7354115