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Radiology of viral pneumonia
Published 2016-07-01“…All patients underwent conventional X-ray examinations (radiography in two projections), multi-spiral computed tomography (CT), high-resolution CT. Seven patients underwent CT angiography. …”
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Enhancing medical image classification via federated learning and pre-trained model
Published 2024-09-01“…The Convolutional Neural Network (CNN) model with Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Patterns (LBP), along with the EfficientNet model, are being used as the local models. …”
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Evaluation of lung cancer early detection offered by the German Social Accident Insurance for formerly asbestos-exposed employees using low-dose computed tomography – setting and s...
Published 2025-07-01“…Abstract Background Clinical trials have shown the benefits of lung cancer screening (LCS) in certain high-risk groups using low-dose high-resolution computed tomography (LDCT). Risk groups are usually defined by age and tobacco use. …”
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Pseudoexhaustive memory testing based on March A type march tests
Published 2020-06-01“…The relevance of testing of memory devices of modern computing systems is shown. The methods and algorithms for implementing test procedures based on classical March tests are analyzed. …”
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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier
Published 2024-12-01“…Subsequently, radiomics refinement and deep learning features were employed using a machine learning algorithm to construct the RRDLC-Classifier, which aims to predict high-grade patterns in clinical stage I solid LADC. Evaluation metrics, such as receiver operating characteristic curves, areas under the curve (AUCs), accuracy, sensitivity, and specificity, were computed for assessment. …”
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Capturing Real-World Habitual Sleep Patterns With a Novel User-Centric Algorithm to Preprocess Fitbit Data in the All of Us Research Program: Retrospective Observational Longitudin...
Published 2025-07-01“…Variations in typical sleep patterns were calculated by examining the differences in the mean number of primary sleep logs classified by each algorithm. …”
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Haemoglobin concentration and survival of haemodialysis patients before and after experiencing cardiovascular disease: a cohort study from Japanese dialysis outcomes and practice p...
Published 2019-09-01“…Adjusted hazard ratios (aHRs) were computed using a time-dependent Cox model with interaction test for cardiovascular comorbidity.Results Over a median 2.0 years, 847 all-cause and 326 cardiovascular deaths, and 1000 adverse cardiovascular events occurred. …”
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Improving Voice Spoofing Detection Through Extensive Analysis of Multicepstral Feature Reduction
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met...
Published 2023-01-01“…The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. …”
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EzSkiROS: enhancing robot skill composition with embedded DSL for early error detection
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Human Infecting with Tick-Borne Diseases on the Territory of Irkutsk City: 25 Years of Survey
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Evaluating sleep's role in type 2 diabetes mellitus: Evidence from NHANES
Published 2025-03-01“…Information on self-reported sleep disorder diagnosis, subjective sleep difficulties, and sleep duration was collected during in-home visits by trained interviewers using the Computer-Assisted Personal Interviewing system. The sleep pattern was derived from scoring three mentioned factors: no self-reported sleep disorder diagnosis, no subjective sleep difficulties, and sleep duration of 7–9 h were classified as low-risk (score 0), while the presence of self-reported sleep disorder diagnosis, subjective sleep difficulties, or sleep duration <7 or >9 h were classified as high-risk (score 1). …”
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SH-SDS: a new static-dynamic strategy for substation host security detection
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Formalising solutions to network availability issues in low-resource environments
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Performance Evaluation of A Three-Modality Biometric System using Multinomial Regression
Published 2025-06-01Get full text
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