Results 181 to 190 of about 5,782,720 (331)

Supervised Versus Unsupervised Classification

, 2014
This video, from the Integrated Geospatial Education and Technology Training Project (iGETT), introduces the audience to the difference between supervised and unsupervised classification of remote sensing data.
Ward, Luke
core   +1 more source

Generalizable self-supervised learning for imaging flow cytometry on multi-dataset leukocyte differential

Microsystems & Nanoengineering
Imaging flow cytometry with supervised learning can realize high-accuracy leukocyte classification. However, since supervised learning relies on annotated cell images and this labeling process generates cell losses, current imaging flow cytometry with ...
Xukun Huang, Zirui Wang, Xinyue Du, Zimeng Fang, Songjiang Chen, Yongfan Chen, Junbo Wang, Xiaoye Huo, Ke Wang, Xianxiang Chen, Yi Zhang, Jian Chen   +11 more
doaj   +1 more source

Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses. [PDF]

Sci Rep, 2022
Wong KS, Zhong X, Low CSL, Kanchanawong P.   +3 more
europepmc   +1 more source

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images

Early and accurate detection of dysplasia in colorectal polyps can improve prognosis and increase survival chances. Recently, automated learning-based approaches using histopathological images have been adopted for improved classification of polyps.
Sharma, Vanshali, Allam, Allam Jaya, Patro, Kiran Kumar, Iwahori, Yuji, Alamro, Hayam, Bhuyan, M.K., Samee, Nagwan Abdel, Acharya, U. Rajendra, Tadeusiewicz, Ryszard, Pławiak, Paweł, Sasmal, Pradipta   +10 more
core   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

On Supervised Classification of Feature Vectors with Independent and Non-Identically Distributed Elements. [PDF]

Entropy (Basel), 2021
Shahrivari F, Zlatanov N.
europepmc   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors. [PDF]

BMC Bioinformatics, 2022
Tran QT, Alom MZ, Orr BA.
europepmc   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source