Results 101 to 110 of about 1,091,165 (230)

Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation. [PDF]

Int J Environ Res Public Health, 2021
Abbas A, Afzal M, Hussain J, Ali T, Bilal HSM, Lee S, Jeon S.   +6 more
europepmc   +1 more source

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

WeVoTe: A Weighted Voting Technique for Automatic Sentiment Annotation of Moroccan Dialect Comments

IEEE Access
Sentiment analysis represents the systematic procedure of independently discerning polarity inherent in a textual document. A multitude of sectors can derive substantial advantages from this specialized domain. Conducting sentiment analysis (SA) involves
Yassir Matrane, Faouzia Benabbou, Zouheir Banou   +2 more
doaj   +1 more source

Investigating Non-Visual Eye Movements Non-Intrusively: Comparing Manual and Automatic Annotation Styles. [PDF]

J Eye Mov Res, 2022
Stüber J, Junctorius L, Hohenberger A.
europepmc   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Satellite Image Cloud Automatic Annotator with Uncertainty Estimation

Fire
In satellite imagery, clouds obstruct the ground information, directly impacting various downstream applications. Thus, cloud annotation/cloud detection serves as the initial preprocessing step in remote sensing image analysis.
Yijiang Gao, Yang Shao, Rui Jiang, Xubing Yang, Li Zhang   +4 more
doaj   +1 more source

UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase. [PDF]

Bioinformatics, 2021
MacDougall A, Volynkin V, Saidi R, Poggioli D, Zellner H, Hatton-Ellis E, Joshi V, O'Donovan C, Orchard S, Auchincloss AH, Baratin D, Bolleman J, Coudert E, de Castro E, Hulo C, Masson P, Pedruzzi I, Rivoire C, Arighi C, Wang Q, Chen C, Huang H, Garavelli J, Vinayaka CR, Yeh LS, Natale DA, Laiho K, Martin MJ, Renaux A, Pichler K, The UniProt Consortium.   +30 more
europepmc   +1 more source

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen, Mark Paine, Soohyun Lee, Amir Fazlollahi, Baibin (Ben) Wang, John D. O'Sullivan, Peter J. Nestor   +6 more
wiley   +1 more source

A multimodal approach for depression detection using semi-automatic data annotation and deterministic machine learning methods

Научно-технический вестник информационных технологий, механики и оптики
A trending task of automatic psycho-emotional human state detection was studied in this work. A scientific interest to researches devoted to the automatic multimodal depression detection can arise out of the widespread of anxiety-depressive disorders and
A. N. Velichko, A. A. Karpov
doaj   +1 more source

Automatic annotation of cervical vertebrae in videofluoroscopy images via deep learning. [PDF]

Med Image Anal, 2021
Zhang Z, Mao S, Coyle J, Sejdić E.
europepmc   +1 more source