Results 41 to 50 of about 328,450 (323)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
IEEE Transactions on Neural Systems and Rehabilitation EngineeringMedical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between
Xiaoshan Xie, Min Yang
doaj +1 more source
Multi-scale semantic enhancement network for object detection
Scientific Reports, 2023 In the field of object detection, feature pyramid network (FPN) can effectively extract multi-scale information. However, the majority of FPN-based methods suffer from a semantic gap between features of various sizes before feature fusion, which can lead
Dongen Guo +3 more
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Reasoning & Querying – State of the Art [PDF]
, 2008 Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years.
Bry, François +2 more
core +1 more source
An Out‐of‐Place Etiology: Recognizing FMR1 Premutation in the Memory Clinic
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The FMR1 gene premutation (55–200 CGG repeats) is usually associated with a wide range of symptoms and phenotypes within the Fragile X‐tremor/ataxia syndrome (FXTAS), but may also manifest as predominant or isolated cognitive decline. We describe three male patients referred for progressive cognitive impairment and behavioral changes. Standard
Guido Greco +7 more
wiley +1 more source
Dual-Branch Neural Network for Bridging Semantic Gap in Harmful Meme Detection
IEEE AccessMemes, cultural entities that spread predominantly through social media, have recently seen an influx of harmful content used for trolling and bullying.
Muhammad Shoib Amin +5 more
doaj +1 more source
Keyframe image processing of semantic 3D point clouds based on deep learning
Frontiers in Neurorobotics, 2023 With the rapid development of web technologies and the popularity of smartphones, users are uploading and sharing a large number of images every day. Therefore, it is a very important issue nowadays to enable users to discover exactly the information ...
Junxian Wang +6 more
doaj +1 more source
Semantic Concept Co-Occurrence Patterns for Image Annotation and Retrieval. [PDF]
, 2016 Describing visual image contents by semantic concepts is an effective and straightforward way to facilitate various high level applications. Inferring semantic concepts from low-level pictorial feature analysis is challenging due to the semantic gap ...
Bhanu, Bir, Feng, Linan
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Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow +4 more
wiley +1 more source
Stochasticity: A Feature for the Structuring of Large and Heterogeneous Image Databases
Entropy, 2013 The paper addresses image feature characterization and the structuring of large and heterogeneous image databases through the stochasticity or randomness appearance. Measuring stochasticity involves finding suitable representations that can significantly
Rémi Mégret +2 more
doaj +1 more source