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, ...
Frontiers

HHBSNet: a global channel–spatial attention and multi-scale dilated convolution network for automatic melasma segmentation

Objective: Melasma is a common acquired facial hyperpigmentation disorder characterized by symmetrical brown patches, often occurring in the zygomatic region, forehead, and upper lip. Its blurred ...
IEEE

BGC-Net: Bilateral Graph Convolutional Network for Weakly-supervised Semantic Segmentation of Large-scale Point Clouds

Abstract: Weakly-supervised point cloud semantic segmentation (WS-PCS) has attracted increasing attention due to the challenge of sparse annotations. A central problem is how to effectively extract ...
C&EN

A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...
IEEE

Segmentation of Hemorrhagic Stroke Using Graph Convolutional Network

Abstract: Stroke is a serious global public health problem, and several studies on tools to assist its diagnosis have been conducted, many of them involving image processing techniques and deep ...
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 ...