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ZENODO
Software . 2016
Data sources: Datacite
Claim

Trainable_Segmentation: Release v3.1.2

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Aug 2016Publisher:Zenodo
Authors: Arganda-Carreras, Ignacio; Kaynig, Verena; Rueden, Curtis; Schindelin, Johannes; Cardona, Albert; Seung, H. Sebastian;

doi: 10.5281/zenodo.59290

Trainable_Segmentation: Release v3.1.2

Abstract

Major changes: Fix java version problem with release 3.1.1. Increase maximum number of classes to 100 (release 3.1.1). Add method to enable/disable a feature by name (release 3.1.1). Add library methods to add training instances from a label image (release 3.1.1). Much code cleanup by Mohamed Ezzat from DevFactory (release 3.1.1).

Related Organizations
Keywords

image segmentation, machine learning, ImageJ, Fiji, WEKA

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
15
Top 10%
Average
Top 10%
91
10