Results 51 to 60 of about 1,014,031 (308)
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
Mental performance classification using fused multilevel feature generation with EEG signals
Mental performance classification is a critical issue for brain-computer interfaces. Accurate and reliable classification of good or bad mental performance gives important clues for the preliminary diagnosis of some diseases and mental stress.
Baygin, M +30 more
core +1 more source
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Examining Variations of Prominent Features in Genre Classification. [PDF]
This paper investigates the correlation between features of three types (visual, stylistic and topical types) and genre classes. The majority of previous studies in automated genre classification have created models based on an amalgamated ...
Yunhyong Kim +5 more
core +1 more source
Predicting Classification Performance for Benchmark Hyperspectral Datasets
The classification of hyperspectral images (HSIs) is an essential application of remote sensing and it is addressed by numerous publications every year.
Bin Zhao +4 more
doaj +1 more source
ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke +4 more
wiley +1 more source
Approximate logic dendritic neuron model classification based on improved DE algorithm
Classification is a core task in pattern recognition, with broad applications in image processing, speech recognition, and medical diagnostics. Traditional neural networks often suffer from difficulties in parameter optimization and local optima, while ...
Liu Chunxia
doaj +1 more source
Deep Neural Networks with Transfer Learning for Medical Image Classification [PDF]
Medical image classification is a crucial component in the aid of clinical diagnosis and disease screening. Deep learning models usually suffer from a lack of data as well as low interpretability in the medical imaging context.
Joshi Gajanan
doaj +1 more source
The aim of this study was to analyse the short-distance sprint performance (SDSP) differences between functional International Wheelchair Basketball Federation (IWBF) classes in elite wheelchair basketball (WB) women players.
Adrián García-Fresneda +1 more
doaj +1 more source
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source

