AIMC Topic: Biometry

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Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison.

European radiology Jun 29, 2020
OBJECTIVE: This study determined the effect of dose reduction and kernel selection on quantifying emphysema using low-dose computed tomography (LDCT) and evaluated the efficiency of a deep learning-based kernel conversion technique in normalizing ker...
Middle Aged Lung Diagnosis, Computer-Assisted Cross-Sectional Studies Male Pulmonary Emphysema Radiation Dosage Biometry Deep Learning Treatment Outcome Lung Diseases Humans Retrospective Studies Tomography, X-Ray Computed Female Aged
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Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification.

Sensors (Basel, Switzerland) Jun 26, 2020
Person re-identification (Re-ID) has a problem that makes learning difficult such as misalignment and occlusion. To solve these problems, it is important to focus on robust features in intra-class variation. Existing attention-based Re-ID methods foc...
Biometry Humans Deep Learning
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Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestati...
Humans Machine Learning Algorithms Ultrasonography Data Accuracy Internationality Prospective Studies Pregnancy Female Fetal Development Gestational Age Biometry
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Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.

Medical image analysis Jun 20, 2020
We present a novel multi-task neural network called Temporal SonoEyeNet (TSEN) with a primary task to describe the visual navigation process of sonographers by learning to generate visual attention maps of ultrasound images around standard biometry p...
Head Biometry Humans Neural Networks, Computer Ultrasonography
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ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression.

IEEE transactions on biomedical circuits and systems Feb 17, 2020
Biometrics such as facial features, fingerprint, and iris are being used increasingly in modern authentication systems. These methods are now popular and have found their way into many portable electronics such as smartphones, tablets, and laptops. F...
Signal Processing, Computer-Assisted Biometry Algorithms Humans Neural Networks, Computer Wearable Electronic Devices Electrocardiography
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Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images.

Journal of medical engineering & technology Sep 10, 2019
This paper presents an advanced approach for foetal brain abnormalities diagnostic by integrating significant biometric features in the identification process. In foetal anomaly diagnosis, manual evaluation of foetal behaviour in ultrasound images is...
Gestational Age Biometry Prenatal Diagnosis Support Vector Machine Head Fetus Ultrasonography Image Processing, Computer-Assisted Humans Databases, Factual Brain
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Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important).

Journal of clinical epidemiology Aug 16, 2019
Machine Learning Algorithms Logistic Models Biometry
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Automatic evaluation of fetal head biometry from ultrasound images using machine learning.

Physiological measurement Jul 1, 2019
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are frequently used to evaluate gestational age and diagnose fetal central nervous system pathology. Because manual measurements ...
Humans Machine Learning Head Biometry Regression Analysis Cephalometry Automation Ultrasonography, Prenatal Image Processing, Computer-Assisted
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Extract Features from Periocular Region to Identify the Age Using Machine Learning Algorithms.

Journal of medical systems May 22, 2019
Latest studies done on huge data collected from aging features proved that the performance of facial image based age estimation is low and need to be improved. One of the significant biometric traits for human recognition or search is Human age. Age ...
Biometry Eye Algorithms Humans Aging Machine Learning Pattern Recognition, Automated
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A comparison of machine learning algorithms and covariate balance measures for propensity score matching and weighting.

Biometrical journal. Biometrische Zeitschrift May 14, 2019
Propensity score matching (PSM) and propensity score weighting (PSW) are popular tools to estimate causal effects in observational studies. We address two open issues: how to estimate propensity scores and assess covariate balance. Using simulations,...
Observational Studies as Topic Labor, Induced Humans Machine Learning Pregnancy Propensity Score Female Monte Carlo Method Cesarean Section Biometry Multivariate Analysis
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