AIMC Topic: Algorithms

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PACC: Large scale connected component computation on Hadoop and Spark.

PloS one Mar 18, 2020
A connected component in a graph is a set of nodes linked to each other by paths. The problem of finding connected components has been applied to diverse graph analysis tasks such as graph partitioning, graph compression, and pattern recognition. Sev...
Social Media Social Networking Humans Artificial Intelligence Software Data Analysis Algorithms
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Creation and Testing of a Deep Learning Algorithm to Automatically Identify and Label Vessels, Nerves, Tendons, and Bones on Cross-sectional Point-of-Care Ultrasound Scans for Peripheral Intravenous Catheter Placement by Novices.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Mar 17, 2020
OBJECTIVES: We sought to create a deep learning (DL) algorithm to identify vessels, bones, nerves, and tendons on transverse upper extremity (UE) ultrasound (US) images to enable providers new to US-guided peripheral vascular access to identify anato...
Catheters Tendons Humans Cross-Sectional Studies Point-of-Care Systems Algorithms Deep Learning
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Deep Learning for Automated Sorting of Retinal Photographs.

Ophthalmology. Retina Mar 17, 2020
PURPOSE: Though the domain of big data and artificial intelligence in health care continues to evolve, there is a lack of systemic methods to improve data quality and streamline the preparation process. To address this, we aimed to develop an automat...
Retina Image Interpretation, Computer-Assisted Humans Retinal Diseases Retrospective Studies Artificial Intelligence Cross-Sectional Studies Algorithms Deep Learning
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Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.

Sensors (Basel, Switzerland) Mar 17, 2020
The detection of objects concealed under people's clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to ...
Security Measures Weapons Electromagnetic Phenomena Clothing Neural Networks, Computer Crime Limit of Detection Algorithms Image Interpretation, Computer-Assisted Feasibility Studies Sensitivity and Specificity Deep Learning Datasets as Topic Safety Management Humans Computer Systems Metals
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Machine Learning in Risk Prediction.

Hypertension (Dallas, Tex. : 1979) Mar 16, 2020
Humans Machine Learning Algorithms Hypertension
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Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis.

Journal of chemical information and modeling Mar 16, 2020
This paper presents a new approach to classification of high-dimensional spectroscopy data and demonstrates that it outperforms other current state-of-the art approaches. The specific task we consider is identifying whether samples contain chlorinate...
Algorithms Neural Networks, Computer Deep Learning Spectrum Analysis
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Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data.

Scientific reports Mar 16, 2020
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents ...
Male Middle Aged Adolescent Adult Biomarkers, Tumor Hematologic Neoplasms Support Vector Machine Follow-Up Studies Diagnosis, Differential Machine Learning Algorithms Prognosis Female Aged Young Adult Humans Neural Networks, Computer Artificial Intelligence
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Deeply self-supervised contour embedded neural network applied to liver segmentation.

Computer methods and programs in biomedicine Mar 15, 2020
OBJECTIVE: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images.
Liver Humans Neural Networks, Computer Supervised Machine Learning Algorithms Image Processing, Computer-Assisted
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Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.

Sensors (Basel, Switzerland) Mar 15, 2020
Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still ins...
Humans Artificial Limbs Neural Networks, Computer Algorithms Young Adult Signal Processing, Computer-Assisted Adult Hand Male Electromyography Gestures
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Humans Neural Networks, Computer Machine Learning Pattern Recognition, Automated Biometric Identification Handwriting Algorithms Deep Learning Bayes Theorem
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