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ZENODO
Model . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2022
License: CC BY
Data sources: Datacite
ZENODO
Model . 2022
License: CC BY
Data sources: Datacite
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Unmyelinated fiber segmentation model release

Authors: Plebani, Emanuele; Dundar, Murat;

Unmyelinated fiber segmentation model release

Abstract

Model release for the paper, two variants are available: umf_segmentation_release.zip with the original model used to generate the segmentation maps in the paper umf_release_data.zip with a scaled-up version (v2) of the original model, doubling the parameters but keeping the same U-Net architecture. umf_release_ensemble.zip containing a multi-resolution ensemble implemented in the ensemble section of the repository, more accurate and robust to distribution shifts. Details on the ensemble model are reported in the PhD thesis "Unraveling Complexity: Panoptic Segmentation in Cellular and Space Imagery" [Plebani2024] (IU Scholarworks mirror).

Keywords

Histology, segmentation

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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!
0
Average
Average
Average