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ZENODO
Model . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2023
License: CC BY
Data sources: Datacite
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StarDist Model for Nuclei Segmentation in Synthetic Lifeact-RFP Images

appsOther research productkeyboard_double_arrow_right Model 19 Dec 2023Publisher:Zenodo
Authors: Fuster-Barcelo, Caterina;

doi: 10.5281/zenodo.10406307

StarDist Model for Nuclei Segmentation in Synthetic Lifeact-RFP Images

Abstract

The StarDist model is specialized in performing nuclei segmentation on synthetic Lifeact-RFP images, which were initially generated from sir-DNA images using the Pix2Pix model. This model is an integral part of a pipeline that begins with image generation via Pix2Pix, followed by nuclei segmentation using StarDist. StarDist has been fine-tuned using the ZeroCostDL4Mic notebook, with a specific training dataset sourced from Zenodo. - Fine-Tuning Notebook:StarDist Notebook - Training Dataset: Zenodo Dataset

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citations
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!
0
Average
Average
Average