colorectal_histology_large
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10 large 5000 x 5000 textured colorectal cancer histology images
FeaturesDict({
'filename': Text(shape=(), dtype=string),
'image': Image(shape=(5000, 5000, 3), dtype=uint8),
})
| Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
| filename |
Text |
|
string |
|
| image |
Image |
(5000, 5000, 3) |
uint8 |
|
@article{kather2016multi,
title={Multi-class texture analysis in colorectal cancer histology},
author={Kather, Jakob Nikolas and Weis, Cleo-Aron and Bianconi, Francesco and Melchers, Susanne M and Schad, Lothar R and Gaiser, Timo and Marx, Alexander and Z{"o}llner, Frank Gerrit},
journal={Scientific reports},
volume={6},
pages={27988},
year={2016},
publisher={Nature Publishing Group}
}
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Last updated 2024-06-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-01 UTC."],[],[],null,["# colorectal_histology_large\n\n\u003cbr /\u003e\n\n- **Description**:\n\n10 large 5000 x 5000 textured colorectal cancer histology images\n\n- **Homepage** :\n \u003chttps://zenodo.org/record/53169#.XGZemKwzbmG\u003e\n\n- **Source code** :\n [`tfds.image_classification.ColorectalHistologyLarge`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image_classification/colorectal_histology.py)\n\n- **Versions**:\n\n - **`2.0.0`** (default): New split API (\u003chttps://tensorflow.org/datasets/splits\u003e)\n- **Download size** : `707.65 MiB`\n\n- **Dataset size** : `464.91 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------|----------|\n| `'test'` | 10 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'filename': Text(shape=(), dtype=string),\n 'image': Image(shape=(5000, 5000, 3), dtype=uint8),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|----------|--------------|-----------------|--------|-------------|\n| | FeaturesDict | | | |\n| filename | Text | | string | |\n| image | Image | (5000, 5000, 3) | uint8 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `None`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @article{kather2016multi,\n title={Multi-class texture analysis in colorectal cancer histology},\n author={Kather, Jakob Nikolas and Weis, Cleo-Aron and Bianconi, Francesco and Melchers, Susanne M and Schad, Lothar R and Gaiser, Timo and Marx, Alexander and Z{\"o}llner, Frank Gerrit},\n journal={Scientific reports},\n volume={6},\n pages={27988},\n year={2016},\n publisher={Nature Publishing Group}\n }"]]
