官方服务:
资源简介:
MRI and CT artifact categories.
应用场景:
创建时间:
2015-12-02
相关数据集
XR-DAVID: XR Display Artifact Video Dataset
A video quality dataset with XR (AR/VR) display distortions was created to measure the effect of display distortions, such as colour fringes or dithering, on image quality. The dataset consists of: *
DataCite Commons2024-12-13 更新220
Fringe Projection Pattern for Intraoral 3D Measurement
Achieving digital intraoral impressions is a key step in orthodontic, implant, and repair. Compared with the complex and time-consuming traditional plaster impression method, the intraoral 3D scanner
Mendeley Data2024-01-31 更新110
gMAD in-the-wild dataset
gMAD in-the-wild dataset是一个大规模的真实世界图像数据集,包含1,000,000对图像及其伪标签。该数据集由安徽大学互联网学院的陈元等人提出,用于训练跨数据集鲁棒的盲图像质量评估模型。数据集中的图像涵盖了多种场景和质量指标,如亮度、色彩丰富度、对比度、噪声和锐度等。创建过程中,首先从公共多媒体数据库YFCC100m中选择图像,然后通过特定的策略生成伪标签。该数据集主要应用于
arXiv2023-09-26 更新50
Quality dataset for 4K resolution (with NaN values)
Quality dataset for 4K resolution (with NaN values)
DataCite Commons2024-06-24 更新180
3T/7T MRI Analysis [Image Quality Scale: 1-nondiagnostic, 2- poor, 3-fair, 4-good and 5-excellent; Artifacts scale: 1-absent, 2-present but not affecting anatomic detail and 3-present and severely affecting image interpretation].
3T/7T MRI Analysis [Image Quality Scale: 1-nondiagnostic, 2- poor, 3-fair, 4-good and 5-excellent; Artifacts scale: 1-absent, 2-present but not affecting anatomic detail and 3-present and severely aff
NIAID Data Ecosystem70



