Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images
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下载链接:
https://physionet.org/content/bhx-brain-bounding-box/1.1/
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资源简介:
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.
提供机构:
PhysioNet
创建时间:
2020-07-29
搜集汇总
数据集介绍

背景与挑战
背景概述
Brain Hemorrhage Extended (BHX) 是一个公开的脑出血CT图像数据集,扩展自qure.ai CQ500数据集,包含5种急性出血类型的边界框标注,总计39,668个边界框分布在23,409张图像中。该数据集通过高效方法从厚切片手动标注外推到薄切片,旨在支持机器学习算法在出血检测和定位任务中的开发和验证。
以上内容由遇见数据集搜集并总结生成



