micro CT scan of Ice core
Polar ice cores 2D images of Micro CT scans that could be used for training and testing a deep neural network for image segmentation. This dataset is connected with the corresponding paper: Title: "Ice Core micro-CT Image Segmentation with Deep Learning and Gaussian Mixture Model" There ar...
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2023
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ftzenodo:oai:zenodo.org:8325366 2023-10-09T21:52:20+02:00 micro CT scan of Ice core Faramarz Bagherzadeh 2023-09-07 https://zenodo.org/record/8325366 https://doi.org/10.5281/zenodo.8325366 eng eng doi:10.5281/zenodo.8325365 https://zenodo.org/communities/ieee https://zenodo.org/record/8325366 https://doi.org/10.5281/zenodo.8325366 oai:zenodo.org:8325366 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode micro CT Deep learning CT scan Ice core GMM Polar info:eu-repo/semantics/other image-photo 2023 ftzenodo https://doi.org/10.5281/zenodo.832536610.5281/zenodo.8325365 2023-09-12T23:01:54Z Polar ice cores 2D images of Micro CT scans that could be used for training and testing a deep neural network for image segmentation. This dataset is connected with the corresponding paper: Title: "Ice Core micro-CT Image Segmentation with Deep Learning and Gaussian Mixture Model" There are mainly 3 specimens from Polar regions (snow, firn, and bubbly ice) with 60-micron resolution and a corresponding ground truth per input which was derived from a higher-resolution image with the methodology explained in the article. Still Image ice core Zenodo |
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Open Polar |
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Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
micro CT Deep learning CT scan Ice core GMM Polar |
spellingShingle |
micro CT Deep learning CT scan Ice core GMM Polar Faramarz Bagherzadeh micro CT scan of Ice core |
topic_facet |
micro CT Deep learning CT scan Ice core GMM Polar |
description |
Polar ice cores 2D images of Micro CT scans that could be used for training and testing a deep neural network for image segmentation. This dataset is connected with the corresponding paper: Title: "Ice Core micro-CT Image Segmentation with Deep Learning and Gaussian Mixture Model" There are mainly 3 specimens from Polar regions (snow, firn, and bubbly ice) with 60-micron resolution and a corresponding ground truth per input which was derived from a higher-resolution image with the methodology explained in the article. |
format |
Still Image |
author |
Faramarz Bagherzadeh |
author_facet |
Faramarz Bagherzadeh |
author_sort |
Faramarz Bagherzadeh |
title |
micro CT scan of Ice core |
title_short |
micro CT scan of Ice core |
title_full |
micro CT scan of Ice core |
title_fullStr |
micro CT scan of Ice core |
title_full_unstemmed |
micro CT scan of Ice core |
title_sort |
micro ct scan of ice core |
publishDate |
2023 |
url |
https://zenodo.org/record/8325366 https://doi.org/10.5281/zenodo.8325366 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
doi:10.5281/zenodo.8325365 https://zenodo.org/communities/ieee https://zenodo.org/record/8325366 https://doi.org/10.5281/zenodo.8325366 oai:zenodo.org:8325366 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.832536610.5281/zenodo.8325365 |
_version_ |
1779315470090895360 |