Pages that link to "Item:Q4998053"

The following pages link to Automatic liver segmentation from CT volumes based on level set and shape descriptor (Q4998053):

Displaying 9 items.

• Geodesic distance algorithm for extracting the ascending aorta from 3D CT images (Q306013) (← links)
• Automatic liver segmentation on volumetric CT images using supervoxel-based graph cuts (Q332957) (← links)
• Automatic segmentation of bladder in CT images (Q1045591) (← links)
• Performance analysis of distance transform based inter-slice similarity information on segmentation of medical image series (Q1649286) (← links)
• An improved residual U-Net with morphological-based loss function for automatic liver segmentation in computed tomography (Q2130191) (← links)
• Liver segmentation based on snakes model and improved growcut algorithm in abdominal CT image (Q2262379) (← links)
• Evolution model based on prior information for narrow joint segmentation (Q2278716) (← links)
• A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans (Q2330139) (← links)
• Slice-adaptive histogram for improvement of anatomical structure extraction in volume data (Q2778085) (← links)