AIMC Topic: Computers

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Plant Leaf Position Estimation with Computer Vision.

Sensors (Basel, Switzerland) Oct 20, 2020
Autonomous analysis of plants, such as for phenotyping and health monitoring etc., often requires the reliable identification and localization of single leaves, a task complicated by their complex and variable shape. Robotic sensor platforms commonly...
Algorithms Computers Plant Leaves Robotics Plants
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Structural plasticity on an accelerated analog neuromorphic hardware system.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2020
In computational neuroscience, as well as in machine learning, neuromorphic devices promise an accelerated and scalable alternative to neural network simulations. Their neural connectivity and synaptic capacity depend on their specific design choices...
Humans Neural Networks, Computer Machine Learning Neuronal Plasticity Algorithms Computers Neurons Synapses
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Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography.

BMC ophthalmology Oct 9, 2020
BACKGROUND: It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular parameters. However, ophthalmologic measurements are within inter-observer variability and time-consuming to get. This study aimed to develop and eva...
Photography Humans Algorithms Deep Learning Optic Disk Computers
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Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection.

Neuroradiology Oct 6, 2020
PURPOSE: To elucidate the effect of deep learning-based computer-assisted detection (CAD) on the performance of different-level physicians in detecting intracranial haemorrhage using CT.
Computers Retrospective Studies Tomography, X-Ray Computed Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages Sensitivity and Specificity Diagnosis, Computer-Assisted
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British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language.

Sensors (Basel, Switzerland) Sep 9, 2020
In this work, we show that a late fusion approach to multimodality in sign language recognition improves the overall ability of the model in comparison to the singular approaches of image classification (88.14%) and Leap Motion data classification (7...
Computers United States Movement Sign Language United Kingdom Humans Neural Networks, Computer Machine Learning
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Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Heart rhythm Sep 8, 2020
BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool us...
Arrhythmogenic Right Ventricular Dysplasia Cardiologists Electrocardiography DNA DNA Mutational Analysis Calcium-Binding Proteins Mutation Clinical Competence Adolescent Male Middle Aged Retrospective Studies Female Young Adult Adult Reproducibility of Results Algorithms Computers Phenotype Humans Machine Learning
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Man versus machine in in vitro fertilization-can artificial intelligence replace physicians?

Fertility and sterility Aug 17, 2020
Artificial Intelligence Computers Physicians Fertilization in Vitro Humans Ovulation Induction
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Memristor-based LSTM network with in situ training and its applications.

Neural networks : the official journal of the International Neural Network Society Aug 4, 2020
Artificial neural networks (ANNs), such as the convolutional neural network (CNN) and long short-term memory (LSTM), have high complexity and contain large numbers of parameters. Memristor-based neural networks, which have the ability of in-memory an...
Neural Networks, Computer Computers
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Generative Adversarial Network Technologies and Applications in Computer Vision.

Computational intelligence and neuroscience Aug 1, 2020
Computer vision is one of the hottest research fields in deep learning. The emergence of generative adversarial networks (GANs) provides a new method and model for computer vision. The idea of GANs using the game training method is superior to tradit...
Biomimetics Humans Computers Vision, Ocular Facial Expression Neural Networks, Computer Image Processing, Computer-Assisted
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Histomorphological investigation of intrahepatic connective tissue for surgical anatomy based on modern computer imaging analysis.

Journal of hepato-biliary-pancreatic sciences Jul 22, 2020
BACKGROUND/PURPOSE: Computer-assisted tissue imaging and analytical techniques were used to clarify the histomorphological structure of hepatic connective tissue as a practical guide for surgeons.
Liver Connective Tissue Computers Imaging, Three-Dimensional Humans Artificial Intelligence
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