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资源简介：
Retinal and Vessel Image Dataset
视网膜及血管图像数据集
应用场景：
创建时间：
2025-01-21
相关数据集
The comparison of our proposed CNN architecture ( DeepVess ), manual annotation by a trained person, and two state-of-the-art methods [24, 28] to the gold standard of the expert human annotation based on the 4-fold cross-validation results.
DeepVess surpassed both human annotator and two state-of-the-art methods in terms of sensitivity as well as Dice index, Jaccard index, and boundary modified Hausdorff distance, which are the three met
NIAID Data Ecosystem20
Quantitative comparison of the automatic whole heart segmentation to manual contouring.
Quantitative comparison of the automatic whole heart segmentation to manual contouring.
Figshare2021-01-14 更新10
Cardiac super-resolution label maps
NIfTI files in end diastole (ED) and end systole (ES) at low resolution (LR) and high resolution (HR) in 1,331 subjects. Ground truth labels for the left ventricular blood pool, left ventricular myoca
Mendeley Data2021-06-22 更新10
GCC of glaucoma
retinal thickness of RNFL,RNFL_IPL and GCC of glaucoma for two methods
Figshare2016-01-19 更新20
Correlations between preoperative SD-OCT, OCTA, visual field parameters, BCVA and postoperative MD.
Correlations between preoperative SD-OCT, OCTA, visual field parameters, BCVA and postoperative MD.
NIAID Data Ecosystem10
