Results 81 to 90 of about 475,413 (306)
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Erratum to: Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data [PDF]
Mansour Sheikhan, Najmeh Mohammadi
openalex +1 more source
Optimizing Literature Search: TEMAS, A New Text-Mining Algorithm-Assisted Search Tool [PDF]
Emmanuel Bonnet +2 more
openalex +1 more source
Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma +9 more
wiley +1 more source
Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination of particle swarm optimization (PSO) and quantum mechanics.
Pengfei Jia, Shukai Duan, Jia Yan
doaj +1 more source
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms
Chuan-Chi Wang +3 more
openalex +1 more source
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai +13 more
wiley +1 more source
A Selection Process for Genetic Algorithm Using Clustering Analysis
This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri +4 more
doaj +1 more source
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source

