Results 121 to 130 of about 3,742,547 (295)

Feature quantification and abnormal detection on cervical squamous epithelial cells. [PDF]

Comput Math Methods Med, 2015
Zhao M, Chen L, Bian L, Zhang J, Yao C, Zhang J.   +5 more
europepmc   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

A method for diagnosing abnormal line loss in distribution network based on model-data hybrid driven algorithm

Diance yu yibiao
Line loss includes technical and non-technical line losses, which is an important technical indicator for the economic operation of power grid. In response to the problem of limited labeled samples in current line loss anomaly detection, which makes it ...
AI Yuan, LI Jiahao, SUN Liyuan, LIU Xinglong, ZHANG Yiming, YANG Hao   +5 more
doaj   +1 more source

Fast Abnormal Event Detection

, 2019
Fast abnormal event detection meets the growing demand to process an enormous number of surveillance videos. Based on the inherent redundancy of video structures, we propose an efficient sparse combination learning framework with both batch and online ...
Lu, Cewu, Shi, Jianping, Wang, Weiming, Jia, Jiaya   +3 more
core   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

A deep learning based detection algorithm for anomalous behavior and anomalous item on buses

Scientific Reports
This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is established. Then, a new mask detection and abnormal object
Shida Liu, Yu Bi, Qingyi Li, Ye Ren, Honghai Ji, Li Wang   +5 more
doaj   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

ABNORMAL BEHAVIOR DETECTION USING CONDITIONAL RANDOM FIELDS

, 2016
[[abstract]]This paper proposes a real-time abnormal behavior detection using Conditional Random Fields(CRFs). A normal behavior can be characterized by the spatial and temporal features obtained from the video of human activities.
黃本軒;Huang, Ben-Syuan;徐士中;Hsu, Shih-Chung;黃仲陵;Huang, Chung-Lin;*
core  

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

Fusion reconstruction mechanism and contrast learning method for WSN abnormal node detection

Tongxin xuebao
To tackle the defects of self-supervised learning anomaly detection methods for wireless sensor network (WSN) need to address the problems of single negative sample types and lack of diversity, as well as insufficient extraction of spatiotemporal ...
YE Miao, CHENG Jin, HUANG Yuan, JIANG Qiuxiang, WANG Yong   +4 more
doaj