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Dataset . 2022
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Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Claim

Fully annotated Human Breast carcinoma cells for 3D segmentation training

Research datakeyboard_double_arrow_right Dataset 21 Jan 2022Publisher:Zenodo
Authors: Varun Kapoor;

doi: 10.5281/zenodo.5904082 , 10.5281/zenodo.5888350 , 10.5281/zenodo.5888351

Fully annotated Human Breast carcinoma cells for 3D segmentation training

Abstract

Fully annotated dataset for training of 3D segmentation models. We provide the Raw image patches in the Raw directory and instance segmentation labels in the RealMask directory, the semantic segmentation masks are provided in the BinaryMask directory. Manually curated from originally published dataset over here: http://celltrackingchallenge.net/3d-datasets/ by team at Kapoorlabs.

Computational support provided by Jean Zay dynamic access grant: AD011013396 Monetary Support by Grant#: 2021-240715(5022) from Chan Zuckerberg Innitiative and Silicon Valley community foundation.

Keywords

VollSeg, StarDist, UNET, Segmentation, Membrane Labelled, Deep Learning, CZI, Kapoorlabs

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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