GitHub

SAMA-UNet: Self-Adaptive Mamba-like Attention UNet

Official PyTorch implementation of SAMA-UNet: A novel U-shaped architecture for medical image segmentation that integrates Self-Adaptive Mamba-like Attention and Causal-Resonance Learning.
Microsoft

Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation

Securing network traffic within data centers is a critical and daunting challenge due to the increasing complexity and scale of modern public clouds. Micro-segmentation offers a promising solution by ...
GitHub

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Few-shot Adaptation of Training-frEe SAM (FATE-SAM) is a versatile framework for 3D medical image segmentation that adapts the pretrained SAM2 model without fine-tuning. By leveraging a support ...
IEEE

UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering

Abstract: The data-intensive nature of supervised classification drives the interest of the researchers towards unsupervised approaches, especially for problems such as medical image segmentation, ...
IEEE

Universal Image Segmentation With Efficiency

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 ...
blog.lib.umn.edu

How social media use impacts teen body image

Social media usage among teens is more prevalent than ever before. In recent years, researchers have begun investigating how much social media affects teen weight concerns and body image issues. A new ...