Published April 7, 2021
| Version 1.0
Dataset
Open
CytoShapeNet: Red blood cell phenotyping from 3D confocal images using artificial neural networks
Description
Our code and dataset that support the findings in "Red blood cell phenotyping from 3D confocal images using artificial neural networks", published 2021 in PLoS Computational Biology (10.1371/journal.pcbi.1008934).
Files
cytoShapeNet-master_v1.0.zip
Files
(10.2 GB)
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md5:f59a838a490009248780b2e45aeb8237
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md5:2e35addd0482fd0fabce4055c993276b
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1.0 GB | Download |
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md5:13f8a7e4eafc5708f86d9357f335008f
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1.0 GB | Download |
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md5:dfceddac178e4d5938ecfab854a4e627
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1.0 GB | Download |
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md5:0a57ba5f4d5f69c794b1eea6e45686e8
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1.0 GB | Download |
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md5:0da07d449485e1e23c038bc08d047fdf
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1.0 GB | Download |
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md5:9f2c407aba2ea97d8fc4a5aadc34cd9c
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1.0 GB | Download |
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md5:15f9ef465ef21cf99d1f48631624c1be
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1.0 GB | Download |
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md5:ec27949cbdb588e860bd54c12c1a233f
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1.0 GB | Download |
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md5:abeb6862d44363669dfe395a12501b09
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1.0 GB | Download |
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md5:cd5d0e0b25e9885bd9a6e4678f39183b
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363.6 MB | Download |
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md5:51dfb4c865ee61b1bcc56f682ccfc479
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191.5 kB | Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1371/journal.pcbi.1008934 (DOI)