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Performance measures for neural network tested on DRIVE database.

Figshare2020-03-06 更新2026-04-28 收录

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Performance measures for neural network tested on DRIVE database.

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2020-03-06

视网膜血管

青光眼影像分析

This dataset includes all data needed to replicate the results in our manuscript published in PLOS ONE: Quantifying Positional Variation of Retinal Blood Vessels in Glaucoma.

NIAID Data Ecosystem50

Performance of different segmentation methods, in terms of sensitivity ( Se ), specificity ( Sp ), accuracy ( Acc ) area under the curve ( AUC ), on the DRIVE and STARE datasets.

视网膜血管

分割算法评估

Performance of different segmentation methods, in terms of sensitivity (Se), specificity (Sp), accuracy (Acc) area under the curve (AUC), on the DRIVE and STARE datasets.

NIAID Data Ecosystem40

Dataset of a 5G RTSP video streaming use case

5G视频流监控

网络性能评估

About the project: monitoring 5G RTSP video streaming This dataset collects data from a 5G video streaming use case. A video is streamed by a cvlc server (realized as a Kubernetes pod) through RTSP

NIAID Data Ecosystem20

Statistical significance test analysis.

视网膜血管

图像增强

Retinal vascular tree segmentation and enhancement has significant medical imaging benefits because, unlike any other human organ, the retina allows non-invasive observation of blood microcirculation,

NIAID Data Ecosystem50

Average Download Speed - Mobile Technologies

固定宽带测速

网络性能评估

World Bank estimate of the average fixed internet download speed (in kbps) based on Ookla data obtained from their Open Data initiative (https://www.ookla.com/ookla-for-good/open-data). The link to th

World Bank Open Data30

Performance measures for neural network tested on DRIVE database.

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