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Leveraging Domain Knowledge to Improve Microscopy Image Segmentation
  with Lifted Multicuts

Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted Multicuts

25 May 2019
Constantin Pape
A. Matskevych
A. Wolny
Julian Hennies
Giulia Mizzon
Marion Louveaux
J. Musser
A. Maizel
D. Arendt
Anna Kreshuk
ArXivPDFHTML

Papers citing "Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted Multicuts"

3 / 3 papers shown
Title
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron
  Reconstruction
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction
Kisuk Lee
R. Lu
Kyle L. Luther
H. S. Seung
3DV
36
22
0
21 Sep 2019
Cross-Classification Clustering: An Efficient Multi-Object Tracking
  Technique for 3-D Instance Segmentation in Connectomics
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
Yaron Meirovitch
Lu Mi
Hayk Saribekyan
A. Matveev
David Rolnick
Nir Shavit
40
38
0
04 Dec 2018
FusionNet: A deep fully residual convolutional neural network for image
  segmentation in connectomics
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan
David Grant Colburn Hildebrand
W. Jeong
24
236
0
16 Dec 2016
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