AIMC Topic: Pattern Recognition, Automated

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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.

Virchows Archiv : an international journal of pathology May 16, 2019
Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-observer variability, which may result in suboptimal treatment of patients. With the introduction of digitization and whole-slide images of prostate b...
Observer Variation Pattern Recognition, Automated Male Deep Learning Predictive Value of Tests Biopsy Image Interpretation, Computer-Assisted Prostatic Neoplasms Neoplasm Grading Humans Automation, Laboratory Reproducibility of Results
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Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 15, 2019
OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and limits scaling to large datasets. In ischemic stroke (IS), subtype classification is critical for management and outcome prediction. This study sought to...
Brain Ischemia Automation Pattern Recognition, Automated Aged, 80 and over Male Middle Aged Female Stroke Reproducibility of Results Data Mining Aged Natural Language Processing Registries Humans Machine Learning Electronic Health Records
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NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding.

IEEE transactions on pattern analysis and machine intelligence May 14, 2019
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing depth-based and RGB+D-based action recognition benchmarks have a number of l...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Pattern Recognition, Automated Human Activities Benchmarking Video Recording Semantics
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Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.

Asian journal of psychiatry May 11, 2019
UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescents remain one of the most under diagnosed mental health problems. Mood disorders in adolescents also put them at risk for other conditions that may per...
Pattern Recognition, Automated Male Anxiety Neurophysiological Monitoring Humans Psychiatric Status Rating Scales Affect Neural Networks, Computer Depression Monitoring, Ambulatory Adult Mobile Applications Face Hydrocortisone Saliva
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Differential convolutional neural network.

Neural networks : the official journal of the International Neural Network Society May 10, 2019
Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing similar artificial neural networ...
Neural Networks, Computer Deep Learning Pattern Recognition, Automated Humans
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A new approach for arrhythmia classification using deep coded features and LSTM networks.

Computer methods and programs in biomedicine May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Pattern Recognition, Automated Data Compression Data Management Algorithms Signal Processing, Computer-Assisted Electrocardiography Humans Databases, Factual Principal Component Analysis Electrocardiography, Ambulatory Neural Networks, Computer Reproducibility of Results Arrhythmias, Cardiac Software
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Cognitive Action Laws: The Case of Visual Features.

IEEE transactions on neural networks and learning systems May 8, 2019
This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Artificial neural networks are regarded as systems whose connections are Lagrangian variables, namely, functions depending on...
Neural Networks, Computer Machine Learning Cognition Pattern Recognition, Automated Photic Stimulation
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All-optical spiking neurosynaptic networks with self-learning capabilities.

Nature May 8, 2019
Software implementations of brain-inspired computing underlie many important computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications. Yet, unlike real neural tissue, traditional computi...
Pattern Recognition, Automated Nerve Net Photons Models, Neurological Action Potentials Unsupervised Machine Learning Biomimetics Synapses Supervised Machine Learning Neurons Neural Networks, Computer Computers Computer Systems
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Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 3, 2019
Humans Artificial Intelligence Software Image Processing, Computer-Assisted Molecular Imaging Pattern Recognition, Automated Nuclear Medicine Algorithms Quality of Life Diagnosis, Computer-Assisted
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BoSR: A CNN-based aurora image retrieval method.

Neural networks : the official journal of the International Neural Network Society May 2, 2019
The deep learning models especially the CNN have achieved amazing performance on natural image retrieval. However, remote sensing images captured with anamorphic lens are still retrieved via manual selection or traditional SIFT-based methods. How to ...
Humans Information Storage and Retrieval Pattern Recognition, Automated Neural Networks, Computer Deep Learning
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