Results 31 to 40 of about 1,353,434 (288)
A Heart Image Segmentation Method Based on Position Attention Mechanism and Inverted Pyramid
Sensors, 2023 In the realm of modern medicine, medical imaging stands as an irreplaceable pillar for accurate diagnostics. The significance of precise segmentation in medical images cannot be overstated, especially considering the variability introduced by different ...
Jinbin Luo +7 more
doaj +1 more source
TransConv: Transformer Meets Contextual Convolution for Unsupervised Domain Adaptation
EntropyUnsupervised domain adaptation (UDA) aims to reapply the classifier to be ever-trained on a labeled source domain to a related unlabeled target domain. Recent progress in this line has evolved with the advance of network architectures from convolutional ...
Junchi Liu, Xiang Zhang, Zhigang Luo
doaj +1 more source
Leveraging Contextual Information for Monocular Depth Estimation
IEEE Access, 2020 Humans strongly rely on visual cues to understand scenes such as segmenting, detecting objects, or measuring the distance from nearby objects. Recent studies suggest that deep neural networks can take advantage of contextual representation for the ...
Doyeon Kim +3 more
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Contextual agility informing market shaping
Économie des conventions, 2022 Making sense of a markets is a necessary precursor to any strategizing such as shaping. Still, the nature of this sense-making is oftentimes kept in the dark. It is somehow subordinate to what follows. The lack of such explicit market portrayals entails the risk of myopia to the detriment of seeing shaping possibilities.
openaire +4 more sources
Cross-Layer Triple-Branch Parallel Fusion Network for Small Object Detection in UAV Images
IEEE Access, 2023 The detection of small objects in Unmanned Aerial Vehicle (UAV) images, which contain a large number of objects with extremely small pixels, has been a major challenge over the last few decades.
Ben Liang +4 more
doaj +1 more source
A Serial-Parallel Self-Attention Network Joint With Multi-Scale Dilated Convolution
IEEE Access, 2021 Semantic segmentation is a high-level task in the field of computer vision, which paves the way for the realization of a complete understanding of the scene, and has been widely used in automatic driving, human-computer interaction, virtual reality, and ...
Wang Gaihua +4 more
doaj +1 more source
A feasible "Kochen-Specker" experiment with single particles [PDF]
, 2000 We present a simple experimental scheme which can be used to demonstrate an all-or-nothing type contradiction between non-contextual hidden variables and quantum mechanics.
A. Cabello +18 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Contextualizing the blogosphere: A comparison of traditional and novel user interfaces for the web [PDF]
, 2007 In this paper, we investigate how contextual user interfaces affect blog reading experience. Based on a review of previous research, we argue why and how contextualization may result in (H1) enhanced blog reading experiences. In an eyetracking experiment,
Laqua, S, Ogbechie, N, Sasse, MA
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
wiley +1 more source