NIH Pancreas-CT Dataset
Holger R. Roth and Amal Farag and Evrim B. Turkbey and Le Lu and Jiamin Liu and Ronald M. Summers.



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Pancreas-CT (164 files)
data/PANCREAS_0001.nii.gz64.99MB
data/PANCREAS_0002.nii.gz57.14MB
data/PANCREAS_0003.nii.gz63.26MB
data/PANCREAS_0004.nii.gz64.90MB
data/PANCREAS_0005.nii.gz50.66MB
data/PANCREAS_0006.nii.gz59.03MB
data/PANCREAS_0007.nii.gz51.71MB
data/PANCREAS_0008.nii.gz50.07MB
data/PANCREAS_0009.nii.gz44.16MB
data/PANCREAS_0010.nii.gz55.84MB
data/PANCREAS_0011.nii.gz55.86MB
data/PANCREAS_0012.nii.gz54.57MB
data/PANCREAS_0013.nii.gz54.81MB
data/PANCREAS_0014.nii.gz63.41MB
data/PANCREAS_0015.nii.gz75.66MB
data/PANCREAS_0016.nii.gz59.65MB
data/PANCREAS_0017.nii.gz68.28MB
data/PANCREAS_0018.nii.gz59.41MB
data/PANCREAS_0019.nii.gz59.57MB
data/PANCREAS_0020.nii.gz52.37MB
data/PANCREAS_0021.nii.gz60.90MB
data/PANCREAS_0022.nii.gz54.42MB
data/PANCREAS_0023.nii.gz56.70MB
data/PANCREAS_0024.nii.gz71.72MB
data/PANCREAS_0025.nii.gz54.83MB
data/PANCREAS_0026.nii.gz83.34MB
data/PANCREAS_0027.nii.gz56.52MB
data/PANCREAS_0028.nii.gz54.80MB
data/PANCREAS_0029.nii.gz57.51MB
data/PANCREAS_0030.nii.gz68.47MB
data/PANCREAS_0031.nii.gz54.11MB
data/PANCREAS_0032.nii.gz59.31MB
data/PANCREAS_0033.nii.gz60.68MB
data/PANCREAS_0034.nii.gz49.60MB
data/PANCREAS_0035.nii.gz63.71MB
data/PANCREAS_0036.nii.gz61.77MB
data/PANCREAS_0037.nii.gz58.39MB
data/PANCREAS_0038.nii.gz51.26MB
data/PANCREAS_0039.nii.gz55.11MB
data/PANCREAS_0040.nii.gz75.75MB
data/PANCREAS_0041.nii.gz61.60MB
data/PANCREAS_0042.nii.gz58.63MB
data/PANCREAS_0043.nii.gz50.24MB
data/PANCREAS_0044.nii.gz124.44MB
data/PANCREAS_0045.nii.gz57.72MB
data/PANCREAS_0046.nii.gz47.29MB
data/PANCREAS_0047.nii.gz55.87MB
data/PANCREAS_0048.nii.gz52.51MB
data/PANCREAS_0049.nii.gz60.24MB
data/PANCREAS_0050.nii.gz61.96MB
data/PANCREAS_0051.nii.gz55.52MB
data/PANCREAS_0052.nii.gz65.62MB
data/PANCREAS_0053.nii.gz59.97MB
data/PANCREAS_0054.nii.gz57.71MB
data/PANCREAS_0055.nii.gz55.75MB
data/PANCREAS_0056.nii.gz52.65MB
data/PANCREAS_0057.nii.gz56.73MB
data/PANCREAS_0058.nii.gz62.34MB
data/PANCREAS_0059.nii.gz52.46MB
data/PANCREAS_0060.nii.gz78.29MB
data/PANCREAS_0061.nii.gz57.96MB
data/PANCREAS_0062.nii.gz51.60MB
data/PANCREAS_0063.nii.gz66.28MB
data/PANCREAS_0064.nii.gz56.97MB
data/PANCREAS_0065.nii.gz52.85MB
data/PANCREAS_0066.nii.gz54.96MB
data/PANCREAS_0067.nii.gz53.63MB
data/PANCREAS_0068.nii.gz53.34MB
data/PANCREAS_0069.nii.gz60.93MB
data/PANCREAS_0070.nii.gz58.46MB
data/PANCREAS_0071.nii.gz52.75MB
data/PANCREAS_0072.nii.gz49.94MB
data/PANCREAS_0073.nii.gz63.93MB
data/PANCREAS_0074.nii.gz49.92MB
data/PANCREAS_0075.nii.gz60.84MB
data/PANCREAS_0076.nii.gz58.36MB
data/PANCREAS_0077.nii.gz67.28MB
data/PANCREAS_0078.nii.gz67.93MB
data/PANCREAS_0079.nii.gz64.17MB
data/PANCREAS_0080.nii.gz42.68MB
data/PANCREAS_0081.nii.gz48.92MB
data/PANCREAS_0082.nii.gz62.50MB
TCIA_pancreas_labels-02-05-2017/label0001.nii.gz71.27kB
TCIA_pancreas_labels-02-05-2017/label0002.nii.gz111.90kB
TCIA_pancreas_labels-02-05-2017/label0003.nii.gz68.51kB
TCIA_pancreas_labels-02-05-2017/label0004.nii.gz66.19kB
TCIA_pancreas_labels-02-05-2017/label0005.nii.gz64.17kB
TCIA_pancreas_labels-02-05-2017/label0006.nii.gz64.81kB
TCIA_pancreas_labels-02-05-2017/label0007.nii.gz62.10kB
TCIA_pancreas_labels-02-05-2017/label0008.nii.gz67.89kB
TCIA_pancreas_labels-02-05-2017/label0009.nii.gz60.58kB
TCIA_pancreas_labels-02-05-2017/label0010.nii.gz63.98kB
TCIA_pancreas_labels-02-05-2017/label0011.nii.gz66.89kB
TCIA_pancreas_labels-02-05-2017/label0012.nii.gz62.91kB
TCIA_pancreas_labels-02-05-2017/label0013.nii.gz58.43kB
TCIA_pancreas_labels-02-05-2017/label0014.nii.gz68.57kB
TCIA_pancreas_labels-02-05-2017/label0015.nii.gz76.36kB
TCIA_pancreas_labels-02-05-2017/label0016.nii.gz91.34kB
TCIA_pancreas_labels-02-05-2017/label0017.nii.gz90.40kB
TCIA_pancreas_labels-02-05-2017/label0018.nii.gz67.41kB
TCIA_pancreas_labels-02-05-2017/label0019.nii.gz66.04kB
TCIA_pancreas_labels-02-05-2017/label0020.nii.gz66.81kB
TCIA_pancreas_labels-02-05-2017/label0021.nii.gz71.79kB
TCIA_pancreas_labels-02-05-2017/label0022.nii.gz93.16kB
TCIA_pancreas_labels-02-05-2017/label0023.nii.gz93.02kB
TCIA_pancreas_labels-02-05-2017/label0024.nii.gz91.20kB
TCIA_pancreas_labels-02-05-2017/label0025.nii.gz60.58kB
TCIA_pancreas_labels-02-05-2017/label0026.nii.gz94.49kB
TCIA_pancreas_labels-02-05-2017/label0027.nii.gz67.17kB
TCIA_pancreas_labels-02-05-2017/label0028.nii.gz62.61kB
TCIA_pancreas_labels-02-05-2017/label0029.nii.gz60.70kB
TCIA_pancreas_labels-02-05-2017/label0030.nii.gz87.28kB
TCIA_pancreas_labels-02-05-2017/label0031.nii.gz93.51kB
TCIA_pancreas_labels-02-05-2017/label0032.nii.gz72.63kB
TCIA_pancreas_labels-02-05-2017/label0033.nii.gz92.95kB
TCIA_pancreas_labels-02-05-2017/label0034.nii.gz64.43kB
TCIA_pancreas_labels-02-05-2017/label0035.nii.gz67.93kB
TCIA_pancreas_labels-02-05-2017/label0036.nii.gz68.26kB
TCIA_pancreas_labels-02-05-2017/label0037.nii.gz62.14kB
TCIA_pancreas_labels-02-05-2017/label0038.nii.gz64.25kB
TCIA_pancreas_labels-02-05-2017/label0039.nii.gz60.76kB
TCIA_pancreas_labels-02-05-2017/label0040.nii.gz74.55kB
TCIA_pancreas_labels-02-05-2017/label0041.nii.gz70.88kB
TCIA_pancreas_labels-02-05-2017/label0042.nii.gz90.02kB
TCIA_pancreas_labels-02-05-2017/label0043.nii.gz64.13kB
TCIA_pancreas_labels-02-05-2017/label0044.nii.gz141.52kB
TCIA_pancreas_labels-02-05-2017/label0045.nii.gz64.38kB
TCIA_pancreas_labels-02-05-2017/label0046.nii.gz61.53kB
TCIA_pancreas_labels-02-05-2017/label0047.nii.gz59.72kB
TCIA_pancreas_labels-02-05-2017/label0048.nii.gz61.84kB
TCIA_pancreas_labels-02-05-2017/label0049.nii.gz67.61kB
TCIA_pancreas_labels-02-05-2017/label0050.nii.gz88.85kB
TCIA_pancreas_labels-02-05-2017/label0051.nii.gz61.77kB
TCIA_pancreas_labels-02-05-2017/label0052.nii.gz66.64kB
TCIA_pancreas_labels-02-05-2017/label0053.nii.gz90.80kB
TCIA_pancreas_labels-02-05-2017/label0054.nii.gz66.13kB
TCIA_pancreas_labels-02-05-2017/label0055.nii.gz63.24kB
TCIA_pancreas_labels-02-05-2017/label0056.nii.gz64.68kB
TCIA_pancreas_labels-02-05-2017/label0057.nii.gz69.20kB
TCIA_pancreas_labels-02-05-2017/label0058.nii.gz94.77kB
TCIA_pancreas_labels-02-05-2017/label0059.nii.gz59.53kB
TCIA_pancreas_labels-02-05-2017/label0060.nii.gz90.70kB
TCIA_pancreas_labels-02-05-2017/label0061.nii.gz72.53kB
TCIA_pancreas_labels-02-05-2017/label0062.nii.gz63.42kB
TCIA_pancreas_labels-02-05-2017/label0063.nii.gz90.47kB
TCIA_pancreas_labels-02-05-2017/label0064.nii.gz64.91kB
TCIA_pancreas_labels-02-05-2017/label0065.nii.gz64.37kB
TCIA_pancreas_labels-02-05-2017/label0066.nii.gz63.27kB
TCIA_pancreas_labels-02-05-2017/label0067.nii.gz64.10kB
TCIA_pancreas_labels-02-05-2017/label0068.nii.gz64.95kB
TCIA_pancreas_labels-02-05-2017/label0069.nii.gz66.48kB
TCIA_pancreas_labels-02-05-2017/label0070.nii.gz63.84kB
TCIA_pancreas_labels-02-05-2017/label0071.nii.gz61.44kB
TCIA_pancreas_labels-02-05-2017/label0072.nii.gz65.42kB
TCIA_pancreas_labels-02-05-2017/label0073.nii.gz93.32kB
TCIA_pancreas_labels-02-05-2017/label0074.nii.gz62.26kB
TCIA_pancreas_labels-02-05-2017/label0075.nii.gz67.09kB
TCIA_pancreas_labels-02-05-2017/label0076.nii.gz63.25kB
TCIA_pancreas_labels-02-05-2017/label0077.nii.gz68.15kB
TCIA_pancreas_labels-02-05-2017/label0078.nii.gz90.32kB
TCIA_pancreas_labels-02-05-2017/label0079.nii.gz75.31kB
TCIA_pancreas_labels-02-05-2017/label0080.nii.gz56.08kB
TCIA_pancreas_labels-02-05-2017/label0081.nii.gz63.03kB
TCIA_pancreas_labels-02-05-2017/label0082.nii.gz65.71kB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {NIH Pancreas-CT Dataset},
keywords= {},
journal= {},
author= {Holger R. Roth and Amal Farag and Evrim B. Turkbey and Le Lu and Jiamin Liu and Ronald M. Summers. },
year= {},
url= {http://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU},
license= {Creative Commons Attribution 3.0 Unported License},
abstract= {### Summary

The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects.  Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy.  The remaining 65 patients were selected by a radiologist from patients who neither had major abdominal pathologies nor pancreatic cancer lesions.  Subjects' ages range from 18 to 76 years with a mean age of 46.8 ± 16.7. The CT scans have resolutions of 512x512 pixels with varying pixel sizes and slice thickness between 1.5 − 2.5 mm, acquired on Philips and Siemens MDCT scanners (120 kVp tube voltage).

A medical student manually performed slice-by-slice segmentations of the pancreas as ground-truth and these were verified/modified by an experienced radiologist.

The images were processed into nii files using the following script:

```
for i in `ls . | grep PAN`; do 
   echo $i; 
   dcm2niix -vox 1 -z y -o ./data/ -m y -s y -f %n $i
done
```

### Citation

Roth HR, Lu L, Farag A, Shin H-C, Liu J, Turkbey EB, Summers RM. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. N. Navab et al. (Eds.): MICCAI 2015, Part I, LNCS 9349, pp. 556–564, 2015. 

### Examples

![](https://i.imgur.com/4aZNgw6.gifv)

![](https://i.imgur.com/kfhhH7x.png)

![](https://i.imgur.com/kGbz9hl.png)

},
superseded= {},
terms= {}
}