AIMC Topic: Neural Networks, Computer

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Development of super-atmospheric oxidation chamber for orthodox tea processing and its validation through neural network approach.

Journal of the science of food and agriculture Mar 12, 2019
BACKGROUND: Orthodox tea is known for its distinct aroma and superior quality. However, the oxidation step that is most crucial for developing these attributes needs precise control and is also time consuming. In the present study, a super-atmospheri...
Neural Networks, Computer Polyphenols Oxidation-Reduction Color Catechin Biflavonoids Plant Leaves Camellia sinensis Tea
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Fully automated radiological analysis of spinal disorders and deformities: a deep learning approach.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 12, 2019
PURPOSE: We present an automated method for extracting anatomical parameters from biplanar radiographs of the spine, which is able to deal with a wide scenario of conditions, including sagittal and coronal deformities, degenerative phenomena as well ...
Spinal Curvatures Spine Neural Networks, Computer Humans Hip Joint Radiography Deep Learning Anatomic Landmarks Models, Statistical
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Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Medical physics Mar 12, 2019
OBJECTIVES: The aim of this study was to develop a fully automated deep learning approach for identification of the pectoral muscle on mediolateral oblique (MLO) view mammograms and evaluate its performance in comparison to our previously developed t...
Observer Variation Pectoralis Muscles Image Processing, Computer-Assisted Mammography Radiologists Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Deep Learning Female Breast Neoplasms
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Use of artificial neural networks to identify the predictive factors of extracorporeal shock wave therapy treating patients with chronic plantar fasciitis.

Scientific reports Mar 12, 2019
The purpose of our study is to identify the predictive factors for a minimum clinically successful therapy after extracorporeal shock wave therapy for chronic plantar fasciitis. The demographic and clinical characteristics were evaluated. The artific...
Male Middle Aged Follow-Up Studies Extracorporeal Shockwave Therapy Fasciitis, Plantar Chronic Disease Models, Biological Female Aged Adult Humans Neural Networks, Computer
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Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.

Computational intelligence and neuroscience Mar 12, 2019
Equipment parallel simulation is an emerging simulation technology in recent years, and equipment remaining useful life (RUL) prediction oriented parallel simulation is an important branch of parallel simulation. An important concept in equipment par...
Computer Simulation Humans Uncertainty Probability Neural Networks, Computer Orientation, Spatial Normal Distribution Algorithms
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Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.

European radiology Mar 11, 2019
OBJECTIVE: To predict the local recurrence of giant cell bone tumors (GCTB) on MR features and the clinical characteristics after curettage using a deep convolutional neural network (CNN).
Prognosis Female Young Adult Adult Humans Neural Networks, Computer Algorithms Logistic Models Follow-Up Studies Magnetic Resonance Imaging Bone Neoplasms Male Middle Aged Adolescent Preoperative Period Bone and Bones Neoplasm Staging Neoplasm Recurrence, Local Image Interpretation, Computer-Assisted Giant Cell Tumor of Bone Curettage
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Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.

IEEE journal of biomedical and health informatics Mar 11, 2019
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little post-treatment prognostic information reported. This study proposes a novel neural network based paradigm for accurate prediction of liver SBRT outcomes....
Aged Aged, 80 and over Adult Disease Progression Deep Learning Male Middle Aged Humans Neural Networks, Computer Algorithms Female Radiotherapy Planning, Computer-Assisted Radiosurgery Kaplan-Meier Estimate ROC Curve Liver Neoplasms Liver
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Integrated information in the thermodynamic limit.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2019
The capacity to integrate information is a prominent feature of biological, neural, and cognitive processes. Integrated Information Theory (IIT) provides mathematical tools for quantifying the level of integration in a system, but its computational c...
Thermodynamics Humans Information Theory Neural Networks, Computer
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Learning joint space-time-frequency features for EEG decoding on small labeled data.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2019
Brain-computer interfaces (BCIs), which control external equipment using cerebral activity, have received considerable attention recently. Translating brain activities measured by electroencephalography (EEG) into correct control commands is a critic...
Machine Learning Electroencephalography Brain-Computer Interfaces Humans Neural Networks, Computer
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Gait Segmentation of Data Collected by Instrumented Shoes Using a Recurrent Neural Network Classifier.

Physical medicine and rehabilitation clinics of North America Mar 11, 2019
The authors present a Recurrent Neural Network classifier model that segments the walking data recorded with instrumented footwear. The signals from 3 piezoresistive sensors, a 3-axis accelerometer, and Euler angles are used to generate temporal gait...
Robotics Equipment Design Humans Shoes Cerebral Palsy Male Neural Networks, Computer Young Adult Adolescent Gait Analysis Adult Female Child
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