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Datasets:
mrmrx
/
CADS-dataset

Tasks:
Image Segmentation
Modalities:
Tabular
Text
Image
Formats:
csv
Size:
10K - 100K
ArXiv:
Tags:
medical
ct
segmentation
image
3d
whole-body
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
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mrmrx commited on
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Update README.md

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  1. README.md +158 -6
README.md CHANGED
@@ -16,13 +16,165 @@ size_categories:
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  - 10K<n<100K
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  configs:
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  - config_name: 0001_visceral_gc
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- data_files:
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- - split: all
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- path: "0001_visceral_gc/0001_visceral_gc.csv"
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  - config_name: 0002_visceral_sc
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- data_files:
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- - split: all
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- path: "0002_visceral_sc/0002_visceral_sc.csv"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
 
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  - 10K<n<100K
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  configs:
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  - config_name: 0001_visceral_gc
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+ data_files:
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+ - split: all
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+ path: "0001_visceral_gc/0001_visceral_gc.csv"
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  - config_name: 0002_visceral_sc
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+ data_files:
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+ - split: all
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+ path: "0002_visceral_sc/0002_visceral_sc.csv"
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+ - config_name: 0003_kits21
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+ data_files:
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+ - split: all
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+ path: "0003_kits21/0003_kits21.csv"
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+ - config_name: 0004_lits
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+ data_files:
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+ - split: all
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+ path: "0004_lits/0004_lits.csv"
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+ - config_name: 0005_bcv_abdomen
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+ data_files:
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+ - split: all
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+ path: "0005_bcv_abdomen/0005_bcv_abdomen.csv"
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+ - config_name: 0006_bcv_cervix
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+ data_files:
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+ - split: all
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+ path: "0006_bcv_cervix/0006_bcv_cervix.csv"
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+ - config_name: 0007_chaos
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+ data_files:
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+ - split: all
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+ path: "0007_chaos/0007_chaos.csv"
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+ - config_name: 0008_ctorg
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+ data_files:
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+ - split: all
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+ path: "0008_ctorg/0008_ctorg.csv"
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+ - config_name: 0009_abdomenct1k
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+ data_files:
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+ - split: all
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+ path: "0009_abdomenct1k/0009_abdomenct1k.csv"
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+ - config_name: 0010_verse
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+ data_files:
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+ - split: all
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+ path: "0010_verse/0010_verse.csv"
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+ - config_name: 0011_exact
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+ data_files:
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+ - split: all
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+ path: "0011_exact/0011_exact.csv"
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+ - config_name: 0012_cad_pe
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+ data_files:
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+ - split: all
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+ path: "0012_cad_pe/0012_cad_pe.csv"
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+ - config_name: 0013_ribfrac
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+ data_files:
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+ - split: all
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+ path: "0013_ribfrac/0013_ribfrac.csv"
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+ - config_name: 0014_learn2reg
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+ data_files:
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+ - split: all
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+ path: "0014_learn2reg/0014_learn2reg.csv"
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+ - config_name: 0015_lndb
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+ data_files:
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+ - split: all
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+ path: "0015_lndb/0015_lndb.csv"
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+ - config_name: 0016_lidc
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+ data_files:
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+ - split: all
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+ path: "0016_lidc/0016_lidc.csv"
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+ - config_name: 0017_lola11
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+ data_files:
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+ - split: all
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+ path: "0017_lola11/0017_lola11.csv"
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+ - config_name: 0018_sliver07
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+ data_files:
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+ - split: all
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+ path: "0018_sliver07/0018_sliver07.csv"
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+ - config_name: 0019_tcia_ct_lymph_nodes
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+ data_files:
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+ - split: all
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+ path: "0019_tcia_ct_lymph_nodes/0019_tcia_ct_lymph_nodes.csv"
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+ - config_name: 0020_tcia_cptac_ccrcc
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+ data_files:
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+ - split: all
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+ path: "0020_tcia_cptac_ccrcc/0020_tcia_cptac_ccrcc.csv"
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+ - config_name: 0021_tcia_cptac_luad
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+ data_files:
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+ - split: all
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+ path: "0021_tcia_cptac_luad/0021_tcia_cptac_luad.csv"
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+ - config_name: 0022_tcia_ct_images_covid19
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+ data_files:
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+ - split: all
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+ path: "0022_tcia_ct_images_covid19/0022_tcia_ct_images_covid19.csv"
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+ - config_name: 0023_tcia_nsclc_radiomics
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+ data_files:
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+ - split: all
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+ path: "0023_tcia_nsclc_radiomics/0023_tcia_nsclc_radiomics.csv"
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+ - config_name: 0024_pancreas_ct
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+ data_files:
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+ - split: all
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+ path: "0024_pancreas_ct/0024_pancreas_ct.csv"
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+ - config_name: 0025_pancreatic_ct_cbct_seg
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+ data_files:
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+ - split: all
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+ path: "0025_pancreatic_ct_cbct_seg/0025_pancreatic_ct_cbct_seg.csv"
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+ - config_name: 0026_rider_lung_ct
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+ data_files:
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+ - split: all
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+ path: "0026_rider_lung_ct/0026_rider_lung_ct.csv"
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+ - config_name: 0027_tcia_tcga_kich
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+ data_files:
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+ - split: all
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+ path: "0027_tcia_tcga_kich/0027_tcia_tcga_kich.csv"
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+ - config_name: 0028_tcia_tcga_kirc
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+ data_files:
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+ - split: all
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+ path: "0028_tcia_tcga_kirc/0028_tcia_tcga_kirc.csv"
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+ - config_name: 0029_tcia_tcga_kirp
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+ data_files:
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+ - split: all
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+ path: "0029_tcia_tcga_kirp/0029_tcia_tcga_kirp.csv"
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+ - config_name: 0030_tcia_tcga_lihc
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+ data_files:
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+ - split: all
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+ path: "0030_tcia_tcga_lihc/0030_tcia_tcga_lihc.csv"
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+ - config_name: 0032_stoic2021
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+ data_files:
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+ - split: all
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+ path: "0032_stoic2021/0032_stoic2021.csv"
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+ - config_name: 0033_tcia_nlst
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+ data_files:
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+ - split: all
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+ path: "0033_tcia_nlst/0033_tcia_nlst.csv"
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+ - config_name: 0034_empire
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+ data_files:
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+ - split: all
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+ path: "0034_empire/0034_empire.csv"
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+ - config_name: 0037_totalsegmentator
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+ data_files:
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+ - split: all
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+ path: "0037_totalsegmentator/0037_totalsegmentator.csv"
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+ - config_name: 0038_amos
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+ data_files:
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+ - split: all
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+ path: "0038_amos/0038_amos.csv"
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+ - config_name: 0039_han_seg
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+ data_files:
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+ - split: all
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+ path: "0039_han_seg/0039_han_seg.csv"
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+ - config_name: 0040_saros
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+ data_files:
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+ - split: all
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+ path: "0040_saros/0040_saros.csv"
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+ - config_name: 0041_ctrate
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+ data_files:
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+ - split: all
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+ path: "0041_ctrate/0041_ctrate.csv"
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+ - config_name: 0042_new_brainct_1mm
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+ data_files:
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+ - split: all
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+ path: "0042_new_brainct_1mm/0042_new_brainct_1mm.csv"
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+ - config_name: 0043_new_ct_tri
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+ data_files:
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+ - split: all
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+ path: "0043_new_ct_tri/0043_new_ct_tri.csv"
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  ---
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  # CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography