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，作为qure.ai CQ500数据集的扩展版本，包含针对5类急性出血的边界框（bounding box）标注。本数据集旨在提供数据资源，助力推进面向机器学习定位任务的出血检测研究。 **核心要点：** * BHX源自qure.ai CQ500数据集的约17万张图像，其中23409张图像完成了出血相关标注，总计包含多达39668个边界框。 * 本数据集通过高效方法构建，可从稀疏标注的初始厚层扫描图像中生成自动标注的薄层扫描图像。 * 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。

搜集汇总

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。