CAMELYON17 dataset
Peter Bandi

CAMELYON17 (1156 files)
images/patient_000_node_0.tif 2.84GB
evaluation/example.csv 17.47kB
evaluation/evaluate.py 4.25kB
checksums.md5 71.10kB
annotations/patient_099_node_4.xml 38.75kB
annotations/patient_096_node_0.xml 147.95kB
annotations/patient_092_node_1.xml 31.96kB
annotations/patient_089_node_3.xml 6.04kB
annotations/patient_088_node_1.xml 9.71kB
annotations/patient_087_node_0.xml 2.42kB
annotations/patient_086_node_4.xml 2.68kB
annotations/patient_086_node_0.xml 2.78kB
annotations/patient_081_node_4.xml 11.07kB
annotations/patient_080_node_1.xml 10.15kB
annotations/patient_075_node_4.xml 92.06kB
annotations/patient_073_node_1.xml 123.16kB
annotations/patient_072_node_0.xml 7.78kB
annotations/patient_068_node_1.xml 4.35kB
annotations/patient_067_node_4.xml 13.61kB
annotations/patient_066_node_2.xml 7.12kB
annotations/patient_064_node_0.xml 2.77kB
annotations/patient_062_node_2.xml 22.46kB
annotations/patient_061_node_4.xml 13.53kB
annotations/patient_060_node_3.xml 1.48kB
annotations/patient_052_node_1.xml 133.90kB
annotations/patient_051_node_2.xml 273.16kB
annotations/patient_048_node_1.xml 8.33kB
annotations/patient_046_node_4.xml 90.82kB
annotations/patient_046_node_3.xml 28.59kB
annotations/patient_045_node_1.xml 13.27kB
annotations/patient_044_node_4.xml 44.20kB
annotations/patient_042_node_3.xml 114.21kB
annotations/patient_041_node_0.xml 1.76kB
annotations/patient_040_node_2.xml 3.96kB
annotations/patient_039_node_1.xml 17.21kB
annotations/patient_038_node_2.xml 12.15kB
annotations/patient_036_node_3.xml 17.09kB
annotations/patient_034_node_3.xml 158.65kB
annotations/patient_024_node_2.xml 3.55kB
annotations/patient_024_node_1.xml 6.15kB
annotations/patient_022_node_4.xml 126.44kB
annotations/patient_021_node_3.xml 7.31kB
annotations/patient_020_node_4.xml 62.02kB
annotations/patient_020_node_2.xml 8.80kB
annotations/patient_017_node_4.xml 21.76kB
annotations/patient_017_node_2.xml 82.32kB
annotations/patient_017_node_1.xml 1.57kB
annotations/patient_016_node_1.xml 1.01kB
annotations/patient_015_node_2.xml 8.64kB
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Type: Dataset
Tags: whole-slide image, pathology, histology

Bibtex:
@article{,
title= {CAMELYON17 dataset},
journal= {},
author= {Peter Bandi},
year= {},
url= {https://camelyon17.grand-challenge.org/data},
abstract= {CAMELYON17 challenge dataset. The goal of this challenge is to evaluate new and existing algorithms for automated detection and classification of breast cancer metastases in whole-slide images of histological lymph node sections. The dataset contains 1000 WSIs of 200 artificial patients from 5 different medical center and exhaustive annotations for 10 WSIs from each center. The dataset is a slightly updated version of the one available on GigaScience at https://doi.org/10.1093/gigascience/giy065. The changes are: 1. Generated mask files were added for each annotated WSI and 50 additional WSI without tumor with value 1 for normal tissue, and 2 for tumor areas in the corresponding WSI. 2. The images are shared without zipping them together per patient.},
keywords= {whole-slide image, pathology, histology},
terms= {},
license= {https://creativecommons.org/publicdomain/zero/1.0},
superseded= {}
}


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