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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
Image analysis
Image segmentation
Convolutional neural networks
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/ISBI.2018.8363598
Date Issue: 2018
Appears in Collections:IC - Artigos e Outros Documentos

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