1aurent commited on
Commit
286b3fb
1 Parent(s): 0d5f741

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +55 -4
README.md CHANGED
@@ -1,4 +1,15 @@
1
  ---
 
 
 
 
 
 
 
 
 
 
 
2
  configs:
3
  - config_name: default
4
  data_files:
@@ -22,11 +33,51 @@ dataset_info:
22
  '7': TUMOR
23
  splits:
24
  - name: train
25
- num_bytes: 329215083.0
26
  num_examples: 5000
27
  download_size: 293441024
28
- dataset_size: 329215083.0
29
  ---
30
- # Dataset Card for "Kather-texture-2016"
31
 
32
- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: cc-by-4.0
3
+ size_categories:
4
+ - 1K<n<10K
5
+ task_categories:
6
+ - image-classification
7
+ tags:
8
+ - biology
9
+ - Colorectal Pancer
10
+ - Histopathology
11
+ - Histology
12
+ - Digital Pathology
13
  configs:
14
  - config_name: default
15
  data_files:
 
33
  '7': TUMOR
34
  splits:
35
  - name: train
36
+ num_bytes: 329215083
37
  num_examples: 5000
38
  download_size: 293441024
39
+ dataset_size: 329215083
40
  ---
 
41
 
42
+ [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.53169.svg)](https://doi.org/10.5281/zenodo.53169)
43
+
44
+ # Collection of textures in colorectal cancer histology
45
+
46
+ **Homepage**: https://zenodo.org/records/53169 \
47
+ **Publication Date**: 2016-05-26 \
48
+ **License**: [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) \
49
+ **Citation**:
50
+ ```bibtex
51
+ @dataset{kather_2016_53169,
52
+ author = {Kather, Jakob Nikolas and Zöllner, Frank Gerrit and Bianconi, Francesco and Melchers, Susanne M and Schad, Lothar R and Gaiser, Timo and Marx, Alexander and Weis, Cleo-Aron},
53
+ title = {{Collection of textures in colorectal cancer histology}},
54
+ month = jun,
55
+ year = 2016,
56
+ publisher = {Zenodo}
57
+ }
58
+ ```
59
+
60
+ ## Description
61
+
62
+ This data set represents a collection of textures in histological images of human colorectal cancer.
63
+ It contains 5000 histological images of 150 * 150 px each (74 * 74 µm). Each image belongs to exactly one of eight tissue categories
64
+
65
+ ## Image format
66
+
67
+ All images are RGB, 0.495 µm per pixel, digitized with an Aperio ScanScope (Aperio/Leica biosystems), magnification 20x. Histological samples are fully anonymized images of formalin-fixed paraffin-embedded human colorectal adenocarcinomas (primary tumors) from our pathology archive (Institute of Pathology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany).
68
+
69
+ ## Ethics statement
70
+
71
+ All experiments were approved by the institutional ethics board (medical ethics board II, University Medical Center Mannheim, Heidelberg University, Germany; approval 2015-868R-MA). The institutional ethics board waived the need for informed consent for this retrospective analysis of anonymized samples. All experiments were carried out in accordance with the approved guidelines and with the Declaration of Helsinki.
72
+
73
+ ## More information / data usage
74
+
75
+ For more information, please refer to the following article. Please cite this article when using the data set. \
76
+ [Kather JN, Weis CA, Bianconi F, Melchers SM, Schad LR, Gaiser T, Marx A, Zollner F: Multi-class texture analysis in colorectal cancer histology (2016), Scientific Reports (in press)](https://doi.org/10.1038/srep27988)
77
+
78
+ ## Contact
79
+
80
+ For questions, please contact: \
81
+ Dr. Jakob Nikolas Kather \
82
+ http://orcid.org/0000-0002-3730-5348 \
83
+ ResearcherID: D-4279-2015