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SLIMBRAIN数据库:用于瘤检测的体内人类大脑的多式图像数据库

Alberto Martín-Pérez¹, Manuel Villa², Gonzalo Rosa Olmeda²

¹Research Center on Software Technologies and Multimedia Systems, Universidad Politécnica de Madrid (UPM), Madrid, 28031, Spain. a.martinp@upm.es.

Scientific data

|May 21, 2025

概括

新的SLIMBRAIN数据库为脑瘤研究提供高光谱成像 (HSI) 和3D数据. 该资源解决了数据稀缺问题,并增强了用于医疗应用的机器学习模型开发.

科学领域:

医学成像医学成像
计算病理学计算病理学
神经科学是一个神经科学.

背景情况:

超谱成像 (HSI) 和机器学习 (ML) 用于大脑瘤的分类.
现有的HSI数据库缺乏足够的标记数据和3D信息.

研究的目的:

介绍SLIMBRAIN数据库,这是一个用于体内人脑成像的多式资源.
解决目前用于脑瘤分析的HSI数据库的局限性.

主要方法:

收集了来自193名患者的高光谱 (400-1000nm),RGB,深度和多视图图像.
使用了两个HS摄像头,两个深度摄像头和多个RGB传感器.
确保神经外科医生对数据进行标记.

主要成果:

开发了SLIMBRAIN数据库,包含超过100万个标记HS像素.
提供全面的多式联通数据,包括光谱,3D和RGB信息.
启用了用于ML模型训练和3D场景重建的多种应用程序.

结论:

SLIMBRAIN数据库显著增强了脑瘤研究的资源.
促进先进的ML模型开发和大脑组织的3D可视化.
为医学和工程界提供前所未有的灵活性.

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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).