Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353453
Type: Artigo
Title: Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection
Author: Stegmaier, Johannes
Spina, Thiago V.
Falcão, Alexandre X.
Bartschat, Andreas
Mikut, Ralf
Meyerowitz, Elliot
Cunha, Alexandre
Abstract: Automated segmentation approaches are crucial to quantitatively analyze large-scale 3D microscopy images. Particularly in deep tissue regions, automatic methods still fail to provide error-free segmentations. To improve the segmentation quality throughout
Subject: Análise de imagem
Segmentação de imagens
Redes neurais convolucionais
Arabidopsis
Meristemas
Image analysis
Image segmentation
Convolutional neural networks
Arabidopsis
Meristems
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/ISBI.2018.8363598
Address: https://ieeexplore.ieee.org/document/8363598
Date Issue: 2018
Appears in Collections:IC - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000455045600087.pdf677.93 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.