2.methods 2.1Multi-scale attention maps 网络基于resnet101的修改,res2-res5层输出的不同尺度特征图定义为F0,F1,F2,F3,将他们上采样到统一的尺度得到 ,将 在通道上堆叠经过卷积得到 (多尺度特征图). 得到的多尺度特征图 再分别和 进行concatenate操作,经过卷积后送入到Guided Attention模块中,得到注意力特征图...
C. Spatial and Channel self-attention modules 我们使用上标p来表示特征图属于位置注意模块。同样地,我们也将使用上标c来表示通道注意模块的特征。 Position attention module (PAM):设表示F∈R^{C\times W\times H}为注意模块的输入特征映射,其中C、W、H分别表示通道、宽度和高度维度。在上分支F通过一个卷积块...
笔记:Multi-scale guided attention for medical image segmentation,程序员大本营,技术文章内容聚合第一站。
医学分割论文:Multi-scale guided attention for medical image segmentation,程序员大本营,技术文章内容聚合第一站。
"'Multi-scale self-guided attention for medical image segmentation'", which has been recently accepted at the Journal of Biomedical And Health Informatics (JBHI). Abstract Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have ...
In this paper, we propose an attention-guided multi-scale feature fusion network (AGMSFNet) to segment prostateMRI images. We propose an attention mechanism for extracting multi-scale features, and introduce a 3D transformer module to enhance global feature representation by adding ...
In this paper, we propose an attention-guided multi-scale fusion network (named as AMS-Net) for crowd counting in dense scenarios. The overall model is mainly comprised by the density and the attention networks. The density network is able to provide a coarse prediction of the crowd distributi...
Secondly, we explore the multi-scale fusion representation for raindrops based on the deep features of the input multi-scale images. The framework is termed uncertainty guided multi-scale attention network (UMAN). Specifically, we construct a multi-scale pyramid structure and introduce an iterative ...
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation (WACV 2024) Nhat-Tan Bui·Dinh-Hieu Hoang·Quang-Thuc Nguyen·Minh-Triet Tran.Ngan Le arXiv.open access Introduction Efficient polyp segmentation in healthcare plays a critical role in enabling early diagnosis ...
"'Multi-scale self-guided attention for medical image segmentation'", which has been recently accepted at the Journal of Biomedical And Health Informatics (JBHI). Abstract Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have ...