Pages that link to "Item:Q2130191"
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The following pages link to An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography (Q2130191):
Displaying 5 items.
- Automatic liver segmentation on volumetric CT images using supervoxel-based graph cuts (Q332957) (← links)
- Liver segmentation based on snakes model and improved growcut algorithm in abdominal CT image (Q2262379) (← links)
- Image segmentation of abdominal multiple organs based on deep learning (Q4996082) (← links)
- Automatic liver segmentation from CT volumes based on level set and shape descriptor (Q4998053) (← links)
- Reaction-diffusion model applied to enhancing U-net accuracy for semantic image segmentation (Q6160648) (← links)