Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...

Abstract: Semantic segmentation of aerial images is essential for unmanned aerial vehicle (UAV) applications in disaster management, particularly for identifying the flood-affected areas. Traditional ...

New Akamai report shows 90% of organisations have adopted some form of segmentation, but only 35% have implemented microsegmentation across their network environment.

Additional inclusion criteria included having at least one OCT-A image captured at the time of treatment cessation ... or main vessel/central trunk. The inner segmentation line in the B-scan was ...

Researchers at University of Tsukuba have developed DeMemSeg, an AI-powered analysis pipeline that addresses a long-standing ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...

I would love access to the full dataset, including images and masks. If possible, could you share it or guide me on how to obtain it? Happy to discuss any terms or restrictions. Thank you very much! ^ ...

When Rutgers theoretical astrophysicist Charles Keeton first saw an unusual picture shared by his colleague, he was intrigued. "Have you ever seen an Einstein Cross with an image in the middle?" his ...