Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

Multi-Scale Graph Convolutional Networks for Robust Image Segmentation in Medical Imaging

Abstract: Proper segmentation of medical images helps greatly in identifying diseases, creating treatment plans, and doing clinical studies. Traditional CNNs perform well, though they usually have ...
IEEE

Fast SAR Image Segmentation With Deep Task-Specific Superpixel Sampling and Soft Graph ...

Abstract: Since the number of superpixels is lower than that of pixels, superpixels can substantially speed up subsequent processing steps and have been widely used in synthetic aperture radar (SAR) ...
The American Journal of Managed Care

Convolutional Neural Network Improves MS Lesion Segmentation

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...
Frontiers

Multi-Scale graph wavelet convolutional network for hyperspectral image classification

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
Cyber Defense Magazine

Network Segmentation Is The Ultimate Cybersecurity Control

Let’s start with a simple truth: Most organizations don’t need more cybersecurity tools. The reality is that businesses require better boundaries in 2025 to restrict access to critical sensitive ...
Frontiers

Multi-Conv attention network for skin lesion image segmentation

1 International College, Chongqing University of Posts and Telecommunications, Chongqing, China 2 Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States To ...