Info hash | afc995065b3e7a48db6dbebf184b8dc9205103af |
Last mirror activity | 760d,13:28:43 ago |
Size | 762.00GB (762,000,041,626 bytes) |
Added | 2020-01-20 17:00:00 |
Views | 804 |
Hits | 1022 |
ID | 4378 |
Type | multi |
Downloaded | 0 time(s) |
Uploaded by | peterbandi |
Folder | CAMELYON16 |
Num files | 964 files [See full list] |
Mirrors | 0 complete, 1 downloading = 1 mirror(s) total [Log in to see full list] |
CAMELYON16 (964 files)
README.md | 3.64kB |
masks/tumor_111_mask.tif | 30.27MB |
masks/tumor_109_mask.tif | 32.87MB |
masks/tumor_110_mask.tif | 8.39MB |
masks/tumor_108_mask.tif | 37.10MB |
masks/tumor_106_mask.tif | 40.04MB |
masks/tumor_107_mask.tif | 21.16MB |
masks/tumor_105_mask.tif | 28.25MB |
masks/tumor_103_mask.tif | 30.23MB |
masks/tumor_104_mask.tif | 37.10MB |
masks/tumor_101_mask.tif | 22.75MB |
masks/tumor_102_mask.tif | 56.77MB |
masks/tumor_099_mask.tif | 25.89MB |
masks/tumor_100_mask.tif | 34.17MB |
masks/tumor_097_mask.tif | 32.13MB |
masks/tumor_098_mask.tif | 18.16MB |
masks/tumor_095_mask.tif | 8.33MB |
masks/tumor_096_mask.tif | 22.84MB |
masks/tumor_093_mask.tif | 22.90MB |
masks/tumor_094_mask.tif | 29.14MB |
masks/tumor_091_mask.tif | 8.36MB |
masks/tumor_092_mask.tif | 2.13MB |
masks/tumor_089_mask.tif | 54.88MB |
masks/tumor_090_mask.tif | 45.05MB |
masks/tumor_088_mask.tif | 28.62MB |
masks/tumor_086_mask.tif | 45.86MB |
masks/tumor_087_mask.tif | 22.59MB |
masks/tumor_085_mask.tif | 4.90MB |
masks/tumor_083_mask.tif | 43.18MB |
masks/tumor_084_mask.tif | 13.33MB |
masks/tumor_082_mask.tif | 17.29MB |
masks/tumor_080_mask.tif | 38.70MB |
masks/tumor_081_mask.tif | 21.12MB |
masks/tumor_079_mask.tif | 1.86MB |
masks/tumor_077_mask.tif | 30.05MB |
masks/tumor_078_mask.tif | 32.43MB |
masks/tumor_076_mask.tif | 33.42MB |
masks/tumor_074_mask.tif | 31.60MB |
masks/tumor_075_mask.tif | 22.59MB |
masks/tumor_072_mask.tif | 37.85MB |
masks/tumor_073_mask.tif | 34.31MB |
masks/tumor_070_mask.tif | 22.87MB |
masks/tumor_071_mask.tif | 31.13MB |
masks/tumor_068_mask.tif | 27.67MB |
masks/tumor_069_mask.tif | 18.63MB |
masks/tumor_066_mask.tif | 38.33MB |
masks/tumor_067_mask.tif | 1.79MB |
masks/tumor_064_mask.tif | 20.38MB |
masks/tumor_065_mask.tif | 15.13MB |
Type: Dataset
Tags: whole-slide image, pathology, histology
Bibtex:
Tags: whole-slide image, pathology, histology
Bibtex:
@article{, title= {CAMELYON16 dataset}, journal= {}, author= {Peter Bandi}, year= {}, url= {https://camelyon16.grand-challenge.org/data}, abstract= {CAMELYON16 challenge dataset. The goal of CAMELYON16 challenge is to evaluate new and existing algorithms for automated detection of metastases in hematoxylin and eosin (H&E) stained whole-slide images (WSIs) of lymph node sections. The dataset contains 270 WSIs (159 normal slides, and 111 slides with tumor) for training, and 129 WSIs for testing. 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. The test_114.tiff WSI was exhaustively annotated. 2. Generated mask files were added for each WSI with value 1 for normal tissue, and 2 for tumor areas in the corresponding WSI.}, keywords= {whole-slide image, pathology, histology}, terms= {}, license= {https://creativecommons.org/publicdomain/zero/1.0}, superseded= {} }