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3D UNet Arabidopsis Ovules ds1x

appsOther research productkeyboard_double_arrow_right Other ORP type 24 Mar 2023Publisher:Zenodo
Authors: Wolny, Adrian; Cerrone, Lorenzo;

doi: 10.5281/zenodo.7772553 , 10.5281/zenodo.7768257 , 10.5281/zenodo.7768256

3D UNet Arabidopsis Ovules ds1x

Abstract

UNet3D Arabidopsis Ovules A a variant of 3D U-Net trained to predict the cell boundaries in confocal stacks of Arabidopsis ovules. Voxel size: (0.235, 0.075, 0.075 µm^3) (ZYX). Trained on 3D confocal image stacks published https://elifesciences.org/articles/57613

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Keywords

plantseg unet 3d semantic-segmentation arabidopsis ovules cell-membrane plant tissue fluorescence-light-microscopy pytorch

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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
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29