Results 41 to 50 of about 54,662 (305)

Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects

Big Data and Cognitive Computing, 2019
In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules.
Soumaya Trabelsi Ben Ameur, Dorra Sellami, Laurent Wendling, Florence Cloppet   +3 more
doaj   +1 more source

The Semantic Gap of Formalized Meaning [PDF]

, 2010
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially improve a wide range of existing approaches by minimizing the underlying problem: The Semantic Gap between formalized meaning and human cognition. We deploy OWL as a Meaning
openaire   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +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, Zechen Wu, Jiangfan Feng, Tao Zou   +3 more
doaj   +1 more source

Visual Description Augmented Integration Network for Multimodal Entity and Relation Extraction

Applied Sciences, 2023
Multimodal Named Entity Recognition (MNER) and multimodal Relationship Extraction (MRE) play an important role in processing multimodal data and understanding entity relationships across textual and visual domains.
Min Zuo, Yingjun Wang, Wei Dong, Qingchuan Zhang, Yuanyuan Cai, Jianlei Kong   +5 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

Folksonomies, the semantic web, and movie recommendation [PDF]

, 2007
While the Semantic Web has evolved to support the meaningful exchange ofheterogeneous data through shared and controlled conceptualisations, Web 2.0 has demonstrated that large-scale community tagging sites can enrich the semantic web with readily ...
C. CATTUTO, M. SZOMSZOR, V. D. P. SERVEDIO, A. ALANI, Szomszor, Martin, Alani, Harith, O'Hara, Kieron, O’Hara, Kieron, A. BALDASSARRI, Servedio, Vito D.P., Cattuto, Ciro, Baldassarri, Andrea, Loreto, Vittorio, K. O'HARA   +13 more
core  

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, Wei Lv, Zhouya Wang, Xiaolong Zhang, Meixuan Jiang, Junhan Gao, Shangwen Chen   +6 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source