AIMC Topic: Pattern Recognition, Automated

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Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Sep 23, 2017
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques, i.e., fuzzy-c-means clustering method (FCM), and the artificial neural network (ANN) and support vector machine (SVM), on an automated framework for ...
Imaging, Three-Dimensional Lung Neoplasms Fuzzy Logic Positron Emission Tomography Computed Tomography Radiopharmaceuticals Radiotherapy Planning, Computer-Assisted Tumor Burden Pattern Recognition, Automated Humans Aged, 80 and over Neural Networks, Computer Male Machine Learning Lung Time Factors Female Reproducibility of Results Aged Fluorodeoxyglucose F18 Radiosurgery
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Finding discriminative and interpretable patterns in sequences of surgical activities.

Artificial intelligence in medicine Sep 22, 2017
OBJECTIVE: Surgery is one of the riskiest and most important medical acts that is performed today. Understanding the ways in which surgeries are similar or different from each other is of major interest to understand and analyze surgical behaviors. T...
Algorithms Clinical Competence Support Vector Machine Cervical Vertebrae Humans Diskectomy Neurosurgeons Intervertebral Disc Video Recording Pattern Recognition, Automated Practice Patterns, Physicians' Task Performance and Analysis
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Combination of minimum enclosing balls classifier with SVM in coal-rock recognition.

PloS one Sep 22, 2017
Top-coal caving technology is a productive and efficient method in modern mechanized coal mining, the study of coal-rock recognition is key to realizing automation in comprehensive mechanized coal mining. In this paper we propose a new discriminant a...
Pattern Recognition, Automated Statistics, Nonparametric Vibration Coal Support Vector Machine Acoustics Area Under Curve Nonlinear Dynamics Discriminant Analysis Datasets as Topic
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Multiple Cayley-Klein metric learning.

PloS one Sep 21, 2017
As a specific kind of non-Euclidean metric lies in projective space, Cayley-Klein metric has been recently introduced in metric learning to deal with the complex data distributions in computer vision tasks. In this paper, we extend the original Cayle...
Pattern Recognition, Automated Nonlinear Dynamics Datasets as Topic Linear Models Face Machine Learning Time Factors Image Processing, Computer-Assisted Internet Humans
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Individualized prediction of psychosis in subjects with an at-risk mental state.

Schizophrenia research Sep 19, 2017
Early intervention strategies in psychosis would significantly benefit from the identification of reliable prognostic biomarkers. Pattern classification methods have shown the feasibility of an early diagnosis of psychosis onset both in clinical and ...
Humans Magnetic Resonance Imaging Psychotic Disorders Image Interpretation, Computer-Assisted Adult Early Diagnosis Prospective Studies Male Pattern Recognition, Automated Brain Proof of Concept Study Genetic Predisposition to Disease Risk Female Support Vector Machine Family Young Adult
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Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition.

IEEE transactions on neural networks and learning systems Sep 15, 2017
Learning deep representations have been applied in action recognition widely. However, there have been a few investigations on how to utilize the structural manifold information among different action videos to enhance the recognition accuracy and ef...
Video Recording Pattern Recognition, Automated Movement Photic Stimulation Humans Neural Networks, Computer Machine Learning Deep Learning
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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Aortic Aneurysm Aortography Sinus of Valsalva Heart Valve Diseases Pattern Recognition, Automated Aorta, Thoracic Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Adult Phenotype Cross-Sectional Studies Female Male Humans Reproducibility of Results Middle Aged Machine Learning Diagnosis, Computer-Assisted Aged Aortic Valve Stenosis Aortic Valve Predictive Value of Tests
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Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.

International journal of neural systems Sep 11, 2017
Changing the metric on the data may change the data distribution, hence a good distance metric can promote the performance of learning algorithm. In this paper, we address the semi-supervised distance metric learning (ML) problem to obtain the best n...
Supervised Machine Learning Nonlinear Dynamics Pattern Recognition, Automated Humans Artificial Intelligence Algorithms Computer Simulation Cluster Analysis
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Sensor, Signal, and Imaging Informatics.

Yearbook of medical informatics Sep 11, 2017
To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensor...
Humans Machine Learning Neoplasms Systems Integration Diagnostic Imaging Data Mining Medical Informatics Pattern Recognition, Automated
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Sharable and Individual Multi-View Metric Learning.

IEEE transactions on pattern analysis and machine intelligence Sep 7, 2017
This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatena...
Face Humans Pattern Recognition, Automated Databases, Factual Biometric Identification Deep Learning Family Image Processing, Computer-Assisted
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