Evidence map›Paper›PMID 28185058›Full record

ArticleNeuroinformatics2017

Ensemble Neuron Tracer for 3D Neuron Reconstruction.

Ching-Wei Wang, Yu-Ching Lee, Hilmil Pradana, Zhi Zhou, Hanchuan Peng

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Tracing weak neuron fibers.Bioinformatics (Oxford, England) · 2023
    Article
  7. Review
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  9. Article
  10. Frontiers in systems neuroscience · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ching-Wei WangGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. cweiwang@mail.ntust.edu.tw.ORCID http://orcid.org/0000-0001-9992-6863
Yu-Ching LeeNTUST Center of Computer Vision and Medical Imaging, National Taiwan University of Science and Technology, Taipei, Taiwan.
Hilmil PradanaGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Zhi ZhouAllen Institute for Brain Science, Seattle, WA, 98103, USA.
Hanchuan PengAllen Institute for Brain Science, Seattle, WA, 98103, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracing of neuron paths is important in neuroscience. Recent studies have shown that it is possible to segment and reconstruct three-dimensional morphology of axons and dendrites using fully automatic neuron tracing methods. A specific tracer may be better than others for a specific dataset, but another tracer could perform better for some other datasets. Ensemble of learners is an effective way to improve learning accuracy in machine learning. We developed automatic ensemble neuron tracers, which consistently perform well on 57 datasets of 5 species collected from 7 laboratories worldwide. Quantitative evaluation based on the data generated by human annotators shows that the proposed ensemble tracers are valuable for 3D neuron tracing and can be widely applied to different datasets.

Indexed as

Magnetic Resonance ImagingAlgorithmsAnimalsBrainDatabases, FactualDendritesElectronic Data ProcessingHumansImaging, Three-DimensionalNeurons3D neuron reconstructionEnsemble neuron tracer

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.