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@@ -45,11 +45,43 @@ This dataset contains 1024x1024 patches of a group of histopathology images take
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  ## Usage
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  ```python
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  from datasets import load_dataset
 
 
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  dataset = load_dataset("Cilem/histopathology-1024")
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- display(dataset['train'][0]["image"])
 
 
 
 
 
 
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  ```
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  ## Usage
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+ - [CAMELYON16](http://gigadb.org/dataset/100439): List of images taken from CAMELYON16 dataset:
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+ * `test_001.tif`
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+ * `test_002.tif`
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+ * `test_003.tif`
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+ * `test_004.tif`
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+ * `test_005.tif`
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+ * `test_006.tif`
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+ * `test_007.tif`
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+ * `test_008.tif`
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+ * `test_009.tif`
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+ * `test_010.tif`
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+ * `test_011.tif`
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+ * `test_012.tif`
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+ * `test_013.tif`
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+ * `test_014.tif`
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+ * `test_015.tif`
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+ * `test_016.tif`
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+ * `test_017.tif`
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+ * `test_018.tif`
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+ * `test_019.tif`
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+ * `test_020.tif`
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+
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+ * Create a folder named ***wsi*** and download the images given in the list. Then:
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+
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  ```python
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  from datasets import load_dataset
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+ import openslide as ops
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+
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  dataset = load_dataset("Cilem/histopathology-1024")
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+ slide_name = dataset['train'][0]['slide_name']
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+ resize = dataset['train'][0]['resize']
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+ path = os.path.join('wsi', slide_name)
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+ slide = ops.OpenSlide(path)
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+ patch = slide.read_region((x, y), 0, patch_size)
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+ patch = patch.resize(resize)
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+ display(patch)
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  ```
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