AIMC Topic: Biometry

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A deep learning-based cancer survival time classifier for small datasets.

Computers in biology and medicine Apr 27, 2023
Cancer survival time prediction using Deep Learning (DL) has been an emerging area of research. However, non-availability of large-sized annotated medical imaging databases affects the training performance of DL models leading to their arguable usage...
Humans Lung Neoplasms Diagnostic Imaging Biometry Neural Networks, Computer Deep Learning
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Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram.

Sensors (Basel, Switzerland) Mar 16, 2023
Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis of specific cardiac potential measured from a living body. Convolutional neural networks (CNN) outperform traditional ECG biometrics because convoluti...
Humans Electrocardiography Arrhythmias, Cardiac Heart Rate Neural Networks, Computer Algorithms Biometry
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Deep Learning-Based Wrist Vascular Biometric Recognition.

Sensors (Basel, Switzerland) Mar 15, 2023
The need for contactless vascular biometric systems has significantly increased. In recent years, deep learning has proven to be efficient for vein segmentation and matching. Palm and finger vein biometrics are well researched; however, research on w...
Fingers Biometry Wrist Deep Learning Hand
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A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.

Sensors (Basel, Switzerland) Mar 2, 2023
The performance of human gait recognition (HGR) is affected by the partial obstruction of the human body caused by the limited field of view in video surveillance. The traditional method required the bounding box to recognize human gait in the video ...
Biometry Deep Learning Gait Machine Learning Algorithms Humans
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Artificial intelligence and fetal ultrasound biometry: Challenges and perspectives.

Diagnostic and interventional imaging Feb 15, 2023
Female Ultrasonography, Prenatal Biometry Gestational Age Artificial Intelligence Pregnancy Humans
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Design of Low-Complexity Convolutional Neural Network Accelerator for Finger Vein Identification System.

Sensors (Basel, Switzerland) Feb 15, 2023
In the biometric field, vein identification is a vital process that is constrained by the invisibility of veins as well as other unique features. Moreover, users generally do not wish to have their personal information uploaded to the cloud, so edge ...
Biometry Extremities Humans Algorithms Neural Networks, Computer Laboratories
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Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results.

Sensors (Basel, Switzerland) Feb 11, 2023
Most studies on EEG-based biometry recognition report results based on signal databases, with a limited number of recorded EEG sessions using the same single EEG recording for both training and testing a proposed model. However, the EEG signal is hig...
Electrodes Biometry Databases, Factual Electroencephalography Humans Neural Networks, Computer
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Multi-Wavelength Biometric Acquisition System Utilizing Finger Vasculature NIR Imaging.

Sensors (Basel, Switzerland) Feb 10, 2023
Personal identification using analysis of the internal and external characteristics of the human finger is currently an intensively developed topic. The work in this field concerns new methods of feature extraction and image analysis, mainly using mo...
Diagnostic Imaging Humans Fingers Artificial Intelligence Upper Extremity Biometry
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Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Tropical animal health and production Feb 10, 2023
Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the need to use alternative additives which could replace traditional promoters in diets has arisen. The objective of this study was to evaluate the effect o...
Cost-Benefit Analysis Biometry Female Dietary Supplements Unsupervised Machine Learning Eggs Poultry Ovum Animals Animal Feed Chickens Diet
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Deep Learning-based Prediction of Axial Length Using Ultra-widefield Fundus Photography.

Korean journal of ophthalmology : KJO Feb 9, 2023
PURPOSE: To develop a deep learning model that can predict the axial lengths of eyes using ultra-widefield (UWF) fundus photography.
Axial Length, Eye Biometry Photography Aged Middle Aged Fundus Oculi Diagnostic Techniques, Ophthalmological Deep Learning Humans Retrospective Studies
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