Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images

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.

BHX是一款公开可用的数据集，包含针对5类急性出血的边界框（bounding box）标注，作为qure.ai CQ500数据集的扩展版本。本数据集旨在提供数据资源，助力面向机器学习定位任务的出血检测研究取得进展。

**核心要点：**

* BHX的数据源来自qure.ai CQ500数据集的约17万张总图像，其中23409张图像针对出血任务完成标注，总计多达39668个边界框。
* 本数据集采用高效构建方式，从稀疏初始标注的厚层切片（thick slices）中获取自动标注的薄层切片（thin slices）图像。
* 我们期望本数据集能够助力机器学习算法的进一步开发与验证，最终辅助颅内出血的临床诊断。