遇见数据集

Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation

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DataCite Commons2024-06-29 更新2024-07-13 收录
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After traumatic brain injury (TBI), intracranial hemorrhage (ICH) may occur that could lead to death or disability if it is not accurately diagnosed and treated in a time-sensitive procedure. Currently, Computerized Tomography (CT) scans are examined by radiologists to diagnose intracranial hemorrhage to localize affected regions. In this work, we collected a dataset of 82 CT scans of patients with traumatic brain injury. Intracranial hemorrhage regions in these scans were delineated in each slice by two radiologists. The radiologists also annotated each CT slice for the presence of different types of intracranial hemorrhage and fracture. The CT scans of 75 subjects in NIfTI format are made public in this dataset.

创伤性脑损伤(traumatic brain injury, TBI)后可能并发颅内出血(intracranial hemorrhage, ICH),若未通过时效性诊疗流程完成精准诊断与治疗,该病症可导致患者死亡或残疾。目前临床中,计算机断层扫描(Computerized Tomography, CT)影像需由放射科医师阅片,以诊断颅内出血并定位受累区域。本研究收集了82例创伤性脑损伤患者的CT扫描影像数据集,两位放射科医师已对每幅扫描切片中的颅内出血区域进行勾画,并针对每幅CT切片标注了不同类型颅内出血及骨折的存在情况。本数据集公开了75名受试者的NIfTI格式CT扫描影像。

提供机构:
PhysioNet
创建时间:
2020-04-01
搜集汇总
数据集介绍
Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation 数据集图片
背景与挑战
背景概述
该数据集包含82例创伤性脑损伤患者的头部CT扫描,专门用于颅内出血检测和分割研究。数据由两名放射科医生对每张CT切片进行出血区域分割和类型标注,涵盖五种颅内出血类型,并以NIfTI格式提供75例公开扫描。数据集还包括患者人口统计信息和标注文件,旨在支持深度学习模型开发,以自动化出血诊断流程。
以上内容由遇见数据集搜集并总结生成
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