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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': ADI
'1': BACK
'2': DEB
'3': LYM
'4': MUC
'5': MUS
'6': NORM
'7': STR
'8': TUM
splits:
- name: nct_crc_he_100
num_bytes: 15058006
num_examples: 99
- name: nct_crc_he_1k
num_bytes: 151950686
num_examples: 999
- name: crc_val_he_7k
num_bytes: 1092855241.74
num_examples: 7180
download_size: 1095677324
dataset_size: 1259863933.74
configs:
- config_name: default
data_files:
- split: nct_crc_he_100
path: data/nct_crc_he_100-*
- split: nct_crc_he_1k
path: data/nct_crc_he_1k-*
- split: crc_val_he_7k
path: data/crc_val_he_7k-*
license: cc-by-sa-3.0
task_categories:
- image-classification
language:
- en
tags:
- biology
- medical
- cancer
- colorectal cancer
pretty_name: NCT_CRC
size_categories:
- 10K<n<100K
---
# Dataset Card for NCT-CRC-HE
### Dataset Summary
The NCT-CRC-HE dataset consists of images of human tissue slides, some of which contain cancer.
### Data Splits
The dataset contains tissues from different parts of the body. Examples from each of the 9 classes can be seen below
### Initial Data Collection and Normalization
NCT biobank (National Center for Tumor Diseases) and the UMM pathology archive (University Medical Center Mannheim)
### Licensing Information
CC-BY-SA
### Citation Information
Owkin claims no ownership of the dataset. This is simply an upload of the original dataset onto HF.
[Link to original paper](https://paperswithcode.com/dataset/nct-crc-he-100k)
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