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AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

12 July 2021
D. Wei
Kisuk Lee
Hanyu Li
R. Lu
J. A. Bae
Zequan Liu
Lifu Zhang
Márcia dos Santos
Zudi Lin
T. Uram
Xueying Wang
Ignacio Arganda-Carreras
Brian Matejek
N. Kasthuri
J. Lichtman
Hanspeter Pfister
    3DV
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Papers citing "AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions"

4 / 4 papers shown
Title
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure
  Across Multiple Levels of Abstraction
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
Jorge Quesada
Lakshmi Sathidevi
Ran Liu
Nauman Ahad
Joy M. Jackson
...
Matthew Y Jin
Carolina Urzay
William R. Gray Roncal
Erik C. Johnson
Eva L. Dyer
93
4
0
01 Jan 2023
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for
  EM Connectomics
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
Zudi Lin
D. Wei
J. Lichtman
Hanspeter Pfister
24
22
0
10 Dec 2021
Local Label Point Correction for Edge Detection of Overlapping Cervical
  Cells
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
Jiawei Liu
Huijie Fan
Qiang Wang
Wentao Li
Yandong Tang
Danbo Wang
Mingyi Zhou
Li Chen
13
9
0
05 Oct 2020
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
32
38
0
04 Dec 2018
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