DARU-Net: A dual attention residual U-Net for uterine fibroids segmentation on MRI.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13937
Abstract: Abstract Purpose Uterine fibroid is the most common benign tumor in female reproductive organs. In order to guide the treatment, it is crucial to detect the location, shape, and size of the tumor. This study… read more here.
Keywords: uterine fibroids; attention mechanisms; segmentation; deep learning ... See more keywords
Attention mechanisms underlying dual‐color digital visual search based on Schulte grid: An event‐related potential study
Sign Up to like & getrecommendations! Published in 2022 at "Brain and Behavior"
DOI: 10.1002/brb3.2471
Abstract: Attention selection is considered to be determined by the perceptual load of cognitive tasks and attention resources that are assigned to processing‐independent stimuli. read more here.
Keywords: dual color; attention mechanisms; mechanisms underlying; color digital ... See more keywords
Dual Attention Model for Citation Recommendation with Analyses on Explainability of Attention Mechanisms and Qualitative Experiments
Sign Up to like & getrecommendations! Published in 2022 at "Computational Linguistics"
DOI: 10.1162/coli_a_00438
Abstract: Abstract Based on an exponentially increasing number of academic articles, discovering and citing comprehensive and appropriate resources have become non-trivial tasks. Conventional citation recommendation methods suffer from severe information losses. For example, they do not… read more here.
Keywords: citation recommendation; attention mechanisms; citation; model ... See more keywords
An Alzheimer's Disease Identification and Classification Model Based on the Convolutional Neural Network with Attention Mechanisms
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380533
Abstract: Received: 25 June 2021 Accepted: 12 September 2021 MRI image analysis of brain regions based on deep learning can effectively reduce the workload of doctors in reading films and improve the accuracy of diagnosis. Therefore,… read more here.
Keywords: attention mechanisms; classification; model; alzheimer disease ... See more keywords
Source Acquisition Device Identification from Recorded Audio Based on Spatiotemporal Representation Learning with Multi-Attention Mechanisms
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DOI: 10.3390/e25040626
Abstract: Source acquisition device identification from recorded audio aims to identify the source recording device by analyzing the intrinsic characteristics of audio, which is a challenging problem in audio forensics. In this paper, we propose a… read more here.
Keywords: representation learning; attention mechanisms; source; device ... See more keywords
Self-supervised recurrent depth estimation with attention mechanisms
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.865
Abstract: Depth estimation has been an essential task for many computer vision applications, especially in autonomous driving, where safety is paramount. Depth can be estimated not only with traditional supervised learning but also via a self-supervised… read more here.
Keywords: self supervised; attention mechanisms; depth estimation; depth ... See more keywords