In a prompted evaluation of three Aortic Vessel Tree cohorts and one Type-B Aortic Dissection dataset, VesselSAM achieved ...

Multilevel thresholding is a commonly adopted technique in image segmentation, where an image is partitioned into several meaningful regions. The selection of optimal threshold values is regarded as a ...

Researchers from North Carolina State University have developed a new technique that improves the ability of computer vision technologies to better identify and separate objects in an image, a process ...

The emphasis of the Image Processing and Analysis Group (IPAG) from the outset has been to bridge areas of general image processing and computer vision with medical-imaging-specific knowledge. As the ...

Medical image segmentation, the task of tracing the exact outlines of lesions, polyps, and blood vessels in clinical scans, has long been dominated by a trade-off. Convolutional networks excel at ...

Image annotation can tell a model very different things about a picture. A box can show where a car is. A polygon can follow its outline. And if the model ...

IIT Guwahati and IIT Kharagpur researchers have developed a low-energy, light-sensitive artificial synapse. This brain-like ...

This image shows a conventional algorithm's segmentation output on the left, and the output from the new "consensus-based" technique on the right. Researchers from North Carolina State University have ...