Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...
Apple’s iPhone 17 event is just a couple of days away, but that hasn’t stopped the rumor mill producing some last minute morsels. A purported document from a South Korean carrier has indicated some ...
A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...
The snake’s head was as big as a garden spade, lunging at hunter Mike Kimmel once, twice, before sinking its recurved teeth into his arm causing blood to spurt in rhythm with his racing heart. Alone ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Scientists in Florida are trying an innovative approach to combat the Burmese python problem in the Everglades. They are using decoy robotic rabbits to lure the invasive species. The South Florida ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
invalid question (invalid tracker)ask questions and other "no action" items here: https://forum.opencv.orgask questions and other "no action" items here: https://forum.opencv.org As I was testing the ...
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