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Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests
  with CNN-based Hypothesis Selection

Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection

18 October 2017
Johannes Stegmaier
T. V. Spina
A. X. Falcão
A. Bartschat
Ralf Mikut
E. Meyerowitz
Alexandre Cunha
ArXivPDFHTML

Papers citing "Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection"

4 / 4 papers shown
Title
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained
  histological slices via deliberate Over-segmentation and Merging
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging
V. Vadori
Jean-Marie Graic
L. Finos
L. Corain
A. Peruffo
Enrico Grisan
16
2
0
14 Nov 2022
Deep Learning Enabled Time-Lapse 3D Cell Analysis
Deep Learning Enabled Time-Lapse 3D Cell Analysis
Jiaxiang Jiang
Amil Khan
S.Shailja
S. Belteton
Michael Goebel
D. Szymanski
B. S. Manjunath
21
0
0
17 Aug 2022
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation
Dennis Eschweiler
Malte Rethwisch
Simon Koppers
Johannes Stegmaier
21
9
0
23 Oct 2020
Superpixels: An Evaluation of the State-of-the-Art
Superpixels: An Evaluation of the State-of-the-Art
David Stutz
Alexander Hermans
Bastian Leibe
SupR
80
468
0
06 Dec 2016
1