Pages that link to "Item:Q2038699"
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The following pages link to Retinal blood vessel segmentation based on densely connected U-net (Q2038699):
Displaying 9 items.
- Blood vessel segmentation via neural network in histological images (Q1404371) (← links)
- An automatic cognitive graph-based segmentation for detection of blood vessels in retinal images (Q1793589) (← links)
- Retinal blood vessel segmentation from fundus image using an efficient multiscale directional representation technique bendlets (Q1979626) (← links)
- Biomedical and health information processing and analysis (Q2047793) (← links)
- Retina blood vessels segmentation based on the combination of the supervised and unsupervised methods (Q2239127) (← links)
- Determination of the location of the needle entry point based on an improved pruning algorithm (Q2688393) (← links)
- Research on brain vessel extraction via multi-modal convolutional neural networks (Q2987212) (← links)
- Retinal vessel segmentation based on deep forest (Q4996531) (← links)
- Retinal vessel segmentation based on conditional deep convolutional generative adversarial networks (Q4998041) (← links)
