AIMC Topic: Neural Networks, Computer

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Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks.

International journal of computer assisted radiology and surgery Apr 29, 2019
PURPOSE: Automatically segmenting and classifying surgical activities is an important prerequisite to providing automated, targeted assessment and feedback during surgical training. Prior work has focused almost exclusively on recognizing gestures, o...
Pattern Recognition, Automated Education, Medical, Graduate Humans Suture Techniques Neural Networks, Computer Gestures Robotics General Surgery
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Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks.

Magnetic resonance in medicine Apr 29, 2019
PURPOSE: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Adipose Tissue Neural Networks, Computer Algorithms Middle Aged Body Water Whole Body Imaging Humans
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A novel deep learning based automatic auscultatory method to measure blood pressure.

International journal of medical informatics Apr 29, 2019
BACKGROUND: It is clinically important to develop innovative techniques that can accurately measure blood pressures (BP) automatically.
Young Adult Adult Male Middle Aged Neural Networks, Computer Algorithms Humans Female Deep Learning Blood Pressure Determination Blood Pressure Automation Stethoscopes
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Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.

Nature neuroscience Apr 29, 2019
Non-recurrent deep convolutional neural networks (CNNs) are currently the best at modeling core object recognition, a behavior that is supported by the densely recurrent primate ventral stream, culminating in the inferior temporal (IT) cortex. If rec...
Neural Networks, Computer Animals Visual Perception Humans Recognition, Psychology Macaca mulatta Temporal Lobe
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Full convolutional network based multiple side-output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi-vendor study.

Medical physics Apr 29, 2019
PURPOSE: Accurate segmentation of rectal tumors is a basic and crucial task for diagnosis and treatment of rectal cancer. To avoid tedious manual delineation, an automatic rectal tumor segmentation model is proposed.
Reproducibility of Results Image Processing, Computer-Assisted Magnetic Resonance Imaging Rectal Neoplasms Humans Neural Networks, Computer
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Predicting coronary artery disease: a comparison between two data mining algorithms.

BMC public health Apr 29, 2019
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...
Sex Factors Humans ROC Curve Socioeconomic Factors Age Factors Support Vector Machine Female Male Coronary Artery Disease Neural Networks, Computer Predictive Value of Tests Risk Factors Middle Aged Data Mining Algorithms Electronic Health Records
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To Generate an Ensemble Model for Women Thyroid Prediction Using Data Mining Techniques.

Asian Pacific journal of cancer prevention : APJCP Apr 29, 2019
Objective: The main objective of this paper is to easily identify thyroid symptom for treatment. Methods: In this paper two main techniques are proposed for mining the hidden pattern in the dataset. Ensemble-I and Ensemble- II both are machine learni...
Neural Networks, Computer Machine Learning Algorithms Female Humans Data Mining Thyroid Gland Decision Support Systems, Clinical Predictive Value of Tests
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Cervix Uteri Area Under Curve Placenta Female Gestational Age Obstetric Labor, Premature Infant, Newborn Hypertension Premature Birth Diabetes Mellitus Humans Body Mass Index ROC Curve Neural Networks, Computer Risk Factors Logistic Models Pregnancy Adult
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A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks.

Sensors (Basel, Switzerland) Apr 28, 2019
Rapid classification of tumors that are detected in the medical images is of great importance in the early diagnosis of the disease. In this paper, a new liver and brain tumor classification method is proposed by using the power of convolutional neur...
Liver Neoplasms Glioma Support Vector Machine Meningioma Pituitary Neoplasms Wavelet Analysis Tomography, X-Ray Computed Sensitivity and Specificity Brain Neoplasms Humans Neural Networks, Computer
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Machine Learning for Medical Imaging.

Journal of healthcare engineering Apr 28, 2019
Deep Learning Alzheimer Disease Principal Component Analysis Software Humans Liver Neoplasms Algorithms Neural Networks, Computer Support Vector Machine Diagnostic Imaging Reproducibility of Results Machine Learning
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