A dual-path psychosocial model of social determinants of health in the community: Results from the Cause Commune program.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of community psychology"
DOI: 10.1002/jcop.22952
Abstract: We tested a dual-path psychosocial framework of social vulnerability that considers the impact of socioeconomic resources and cognitive social capital on health, and whether they were mediated by an enabling psychosocial path (collective efficacy) and… read more here.
Keywords: health; path; community; dual path ... See more keywords
Automatic segmentation of high-risk clinical target volume for tandem-and-ovoids brachytherapy patients using an asymmetric dual-path convolutional neural network.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15490
Abstract: PURPOSES Pre-implant diagnostic MRI is the gold standard for image-guided tandem-and-ovoids brachytherapy for cervical cancer. However, high dose rate (HDR) brachytherapy planning is typically done on post-implant CT-based high-risk clinical target volume (HR-CTVCT ) because… read more here.
Keywords: pre implant; tandem ovoids; path; dual path ... See more keywords
Simultaneous measurements of velocity and distance via a dual-path FMCW lidar system
Sign Up to like & getrecommendations! Published in 2020 at "Optics Communications"
DOI: 10.1016/j.optcom.2020.126066
Abstract: Abstract A practical dual-path Frequency Modulated Continuous Wave (FMCW) lidar system capable of simultaneous ranging and velocimetry was developed in this work. The setting of dual paths can effectively eliminate the effects of non-linearity of… read more here.
Keywords: dual path; distance; lidar system; velocity ... See more keywords
Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net.
Sign Up to like & getrecommendations! Published in 2019 at "Ultrasonics"
DOI: 10.1016/j.ultras.2019.03.014
Abstract: A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in IntraVascular UltraSound (IVUS) frames, which is crucial for diagnosis of many… read more here.
Keywords: path net; dpu net; dual path; segmentation ... See more keywords
Modified Dual Path Network With Transform Domain Data for Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997028
Abstract: Recently, studies on single image super-resolution using Deep Convolutional Neural Networks (DCNN) have been demonstrated to have made outstanding progress over conventional signal-processing based methods. However, existing architectures have grown wider and deeper, resulting in… read more here.
Keywords: dual path; resolution; transform domain; network ... See more keywords
Dual-Path Hybrid Attention Network for Monaural Speech Separation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193245
Abstract: Recent advances in the time-domain speech separation methods, particularly those specialized in using attention mechanisms to model sequences, have significantly improved speech separation performance. In this paper, we address monaural (one microphone) speaker separation, mainly… read more here.
Keywords: hybrid attention; dual path; path hybrid; attention ... See more keywords
SDPN: A Slight Dual-Path Network With Local-Global Attention Guided For Medical Image Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3260026
Abstract: Accurate identification of lesions is a key step in surgical planning. However, this task mainly exists two challenges: 1) Due to the complex anatomical shapes of different lesions, most segmentation methods only achieve outstanding performance… read more here.
Keywords: network; slight dual; dual path; segmentation ... See more keywords
Flat Broadband Chaos Generation Using a Semiconductor Laser Subject to Asymmetric Dual-Path Optical Feedback
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2021.3095972
Abstract: A method of generating flat broadband chaos by using a semiconductor laser subject to asymmetric dual-path optical feedback is proposed and demonstrated experimentally. In the asymmetric dual-path optical feedback, one path is connected with an… read more here.
Keywords: dual path; feedback; optical feedback; asymmetric dual ... See more keywords
Dual-Path Sparse Hierarchical Network for Semantic Segmentation of Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3070426
Abstract: Semantic segmentation of remote sensing images aims to label every pixel with the correct semantic category. The core challenge of the current deep convolutional network (ConvNet)-based methods lies in the difficulty of effectively aggregating high-level… read more here.
Keywords: dual path; network; remote sensing; feature ... See more keywords
A Dual-Path Multihead Feature Enhancement Detector for Oriented Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3223907
Abstract: Oriented object detection in remote sensing images (RSIs) has received more and more attention due to its broader applicability in natural scenes relative to horizontal bounding boxes (HBBs). The complex scenes and multiscale targets in… read more here.
Keywords: dual path; detection; remote sensing; feature ... See more keywords
DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3198284
Abstract: Medical image segmentation has long suffered from the problem of expensive labels. Acquiring pixel-level annotations is time-consuming, labor-intensive, and relies on extensive expert knowledge. Bounding box annotations, in contrast, are relatively easy to acquire. Thus,… read more here.
Keywords: transfer; image segmentation; feature; medical image ... See more keywords