Datasets:
Tasks:
Image Segmentation
Languages:
English
Size:
1K - 10K
Tags:
medical-imaging
electron-microscopy
nuclei-segmentation
3d-segmentation
zebrafish
neuroscience
License:
Upload README.txt with huggingface_hub
Browse files- README.txt +77 -0
README.txt
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NucMM (Zebrafish) Dataset Release
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- image.tif: electron microscopy (EM) image volume (downsampled from 4nm resolution)
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- mask.h5: binary mask of the zebrafish brain region
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- Image: image volumes for training and validation
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- Label: instance segmentation volumes for training and validation
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==========
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Train/val volume size: (64, 64, 64)
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Training volume start coordinates (27 volumes):
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192 640 1408
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64 960 896
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192 384 960
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192 704 512
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192 960 832
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192 768 512
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64 448 960
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256 704 512
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192 512 704
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128 640 1088
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0 576 768
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320 704 640
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128 448 768
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64 384 832
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128 704 832
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64 576 640
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256 448 960
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320 640 896
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256 768 1024
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128 384 768
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320 704 1088
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192 704 1728
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0 704 832
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128 640 256
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Validation volume start coordinates (27 volumes):
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256 768 896
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256 640 1088
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256 640 704
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256 1088 896
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64 768 512
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192 1088 832
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256 384 896
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128 384 896
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256 768 832
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192 384 896
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256 896 768
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128 640 704
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0 640 832
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320 448 832
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64 704 832
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256 832 832
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64 1024 896
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256 960 896
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64 512 1024
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64 832 1152
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128 832 896
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128 704 320
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64 896 1088
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256 384 832
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192 704 1472
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0 768 1024
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0 640 896
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==========
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Citation:
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@inproceedings{lin2021nucmm,
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title={NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale},
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author={Lin, Zudi and Wei, Donglai and Petkova, Mariela D and Wu, Yuelong and Ahmed, Zergham and Zou, Silin and Wendt, Nils and Boulanger-Weill, Jonathan and Wang, Xueying and Dhanyasi, Nagaraju and others},
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booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
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pages={164--174},
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year={2021},
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organization={Springer}
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}
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