Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

For computer vision tasks, this might look, for instance, like an hour of camera. ... STEGO is a semantic segmentation algorithm, the process of labeling the pixels in an image. Historically, semantic ...

Examples of computer vision in action include optical character recognition, image recognition, pattern recognition, facial recognition, and object detection and classification.

AI image recognition has made some stunning advances, but as new research shows, the systems can still be tripped up by examples that would never fool a person. Labsix, a group of MIT students who ...

RSIP Vision is driving innovation in medical imaging through advanced AI and computer vision solutions. We’re a proven global leader, with more than 25 years of experience.

Pengfei Zhang 12, Shuangfang Lu 1, Junqian Li 1, Ping Zhang 12, Liujuan Xie 12, Haitao Xue 1, Jie Zhang 12, Multi-component segmentation of X-ray computed tomography (CT) image using multi-Otsu ...

Doctors determine the size of the tumor lesions by manually marking 2D slice images – an extremely time-consuming task. “Automated evaluation using an algorithm would save an enormous amount of time ...