health life sciences medicine
BHX is a public available dataset with bounding box annotations for 5 types of acute hemorrhage as an extension of the qure.ai CQ500 dataset. This dataset intends to provide data resources to help advance hemorrhage detection towards machine learning localization tasks. Key Points: BHX contains up to 39,668 bounding boxes in 23,409 images annotated for hemorrhage, out of a total of ~170k images from qure.ai CQ500 dataset. The dataset was built through an efficient method to obtain automatic annotated images (thin slices) from sparse initial labeling (thick slices). We hope this dataset can contribute to further develop and validate machine learning algorithms, ultimately helping to diagnose intracranial hemorrhage.
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Creative Commons Attribution-ShareAlike 4.0 International Public License
https://doi.org/10.13026/9cft-hg92
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Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images was accessed on DATE from https://registry.opendata.aws/bhx-brain-bounding-box.
arn:aws:s3:::physionet-open/bhx-brain-bounding-box/us-east-1aws s3 ls --no-sign-request s3://physionet-open/bhx-brain-bounding-box/