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README.md
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@@ -51,23 +51,31 @@ The original zip file contains 3 subfolders “images”, “Annotations”, “
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In the "image" folder, it contains 2 subfolders: "Fractured" and "Non-fractured", and each image is stored in corresponding folder in JPG format.
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In the "Annotations" folder, it contains 4 subfolders: "COCO JSON", "PASCAL VOC", "VGG JSON", and "YOLO". Annotations are stored in their corresponding folders. More details can be read in ### Annotations section.
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In the "utilities" folder, it contains several programming scripts that could be used to convert the raw files to a more readable format. None of them were used in this dataset.
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The "dataset.csv" contains many basic variables for each image:
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- image_id [string]: The unique identifier for each radiograph image in the dataset.
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- hand [int]: A binary indicators (1 or 0) marking the presence of hand in the radiograph
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- leg [int] : A binary indicators (1 or 0) marking the presence of leg in the radiograph
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- hip [int] : A binary indicators (1 or 0) marking the presence of hip in the radiograph
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- shoulder [int]: A binary indicator (1 or 0) marking the shoulder in the radiograph
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- mixed [int]: A binary indicator of whether the image contains multiple body parts
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- hardware [int]: A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image
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- multiscan [int]: A binary indicator signifies whether the image is part of a set of multiple scans
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- fractured [int]: A binary indicator of whether there is a fracture present in the image
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- fracture_count [int]: The number of fractures present in the image
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- frontal [int]: A binary indicator denoting the front orientation of the radiograph
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- lateral[int]: A binary indicator denoting the side orientation of the radiograph
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- oblique [int]: A binary indicator denoting denoting the angled orientation of the radiograph
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Above are the data that could be directly extracted from the downloaded files. Other than the above-mentioned features, this huggingface dataset also extract infomation from annotations files to present a more systematic and clean FracAtlas dataset.
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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In the "image" folder, it contains 2 subfolders: "Fractured" and "Non-fractured", and each image is stored in corresponding folder in JPG format.
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In the "Annotations" folder, it contains 4 subfolders: "COCO JSON", "PASCAL VOC", "VGG JSON", and "YOLO". Annotations are stored in their corresponding folders. More details can be read in ### Annotations section.
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In the "utilities" folder, it contains several programming scripts that could be used to convert the raw files to a more readable format. None of them were used in this dataset.
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The "dataset.csv" contains many basic variables for each image: \\
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- image_id [string]: The unique identifier for each radiograph image in the dataset. \\
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- hand [int]: A binary indicators (1 or 0) marking the presence of hand in the radiograph \\
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- leg [int] : A binary indicators (1 or 0) marking the presence of leg in the radiograph \\
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- hip [int] : A binary indicators (1 or 0) marking the presence of hip in the radiograph \\
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- shoulder [int]: A binary indicator (1 or 0) marking the shoulder in the radiograph \\
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- mixed [int]: A binary indicator of whether the image contains multiple body parts \\
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- hardware [int]: A binary indicator marking the presence of medical hardware (i.e. screws or plates) in the image \\
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- multiscan [int]: A binary indicator signifies whether the image is part of a set of multiple scans \\
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- fractured [int]: A binary indicator of whether there is a fracture present in the image \\
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- fracture_count [int]: The number of fractures present in the image \\
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- frontal [int]: A binary indicator denoting the front orientation of the radiograph \\
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- lateral[int]: A binary indicator denoting the side orientation of the radiograph \\
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- oblique [int]: A binary indicator denoting denoting the angled orientation of the radiograph \\
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Above are the data that could be directly extracted from the downloaded files. Other than the above-mentioned features, this huggingface dataset also extract infomation from annotations files to present a more systematic and clean FracAtlas dataset.
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Other variables are extracted from the annotations files:
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- Image [image]: A PIL image object denoting each X-ray image \\
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- Image_path [string]: A string representing the file path for its corresponding image \\
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- segmentation [list]: A list object contains the segmentation info for each fractured image \\
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- bbox [list]: A list object contains the bounding box info for each fractured image \\
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- area [float]: A float denoting the area of the bounding box in each fractured image \\
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- height [int]
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- width [int]
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- segmented [int]
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### Curation Rationale
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<!-- Motivation for the creation of this dataset. -->
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