AIMC Topic: Neural Networks, Computer

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Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning.

Computational intelligence and neuroscience Jun 3, 2019
In this paper, we address the problem of identifying brain haemorrhage which is considered as a tedious task for radiologists, especially in the early stages of the haemorrhage. The problem is solved using a deep learning approach where a convolution...
Support Vector Machine Radiologists Hemorrhage Intracranial Hemorrhages Neural Networks, Computer Machine Learning Deep Learning Humans
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On Ev-Degree and Ve-Degree Topological Properties of Tickysim Spiking Neural Network.

Computational intelligence and neuroscience Jun 2, 2019
Topological indices are indispensable tools for analyzing networks to understand the underlying topology of these networks. Spiking neural network architecture (SpiNNaker or TSNN) is a million-core calculating engine which aims at simulating the beha...
Models, Neurological Neural Networks, Computer Neurons Computer Simulation Nerve Net
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Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification.

Computational intelligence and neuroscience Jun 2, 2019
Biometric is an important field that enables identification of an individual to access their sensitive information and asset. In recent years, electroencephalography- (EEG-) based biometrics have been popularly explored by researchers because EEG is ...
Brain-Computer Interfaces Humans Biometric Identification Algorithms Neural Networks, Computer Machine Learning Electroencephalography Signal Processing, Computer-Assisted
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Convolutional Neural Networks for Recognition of Lymphoblast Cell Images.

Computational intelligence and neuroscience Jun 2, 2019
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes. The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B). They exhibit various characterist...
Neural Networks, Computer Machine Learning Algorithms Urogenital Abnormalities Humans Nerve Net Osteochondrodysplasias Support Vector Machine Recognition, Psychology Adrenal Insufficiency Fetal Growth Retardation Lymphocytes
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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Imaging, Three-Dimensional Humans Liver Neural Networks, Computer Datasets as Topic Blood Vessels Algorithms Diagnosis, Computer-Assisted Deep Learning
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Deep Learning for the Radiographic Detection of Apical Lesions.

Journal of endodontics Jun 1, 2019
INTRODUCTION: We applied deep convolutional neural networks (CNNs) to detect apical lesions (ALs) on panoramic dental radiographs.
Neural Networks, Computer Deep Learning Sensitivity and Specificity ROC Curve Tooth
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Heterogeneous Multilayer Generalized Operational Perceptron.

IEEE transactions on neural networks and learning systems May 31, 2019
The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized operational perceptron ...
Algorithms Databases, Factual Neural Networks, Computer
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Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Ophthalmology May 31, 2019
PURPOSE: To develop and evaluate deep learning models that screen multiple abnormal findings in retinal fundus images.
Area Under Curve Fundus Oculi Image Interpretation, Computer-Assisted Datasets as Topic Retinal Diseases Middle Aged Deep Learning ROC Curve Cross-Sectional Studies Male Algorithms Female Aged Aged, 80 and over Adult Humans Sensitivity and Specificity Neural Networks, Computer Machine Learning
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Ultrasonic exposure parameters screening in permeability of mycobacterium smegmatis cytoderm induced by cavitation based on artificial neural network identification.

Ultrasonics sonochemistry May 31, 2019
The low intensity ultrasound has been adopted by researchers to enhance the bactericidal effect against bacteria in vitro and in vivo. Although the mechanism is not completely understood, one dominant opinion is that the permeability increases becaus...
Neural Networks, Computer Computational Biology Permeability Ultrasonic Waves Mycobacterium smegmatis
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Neural Networks, Computer Algorithms Neoplasms Humans Radiologists Radiotherapy Planning, Computer-Assisted Datasets as Topic Cohort Studies ROC Curve Bayes Theorem Simulation Training Medical Errors Radiotherapy Setup Errors Organ Specificity Technology, Radiologic Dose Fractionation, Radiation False Negative Reactions Radiotherapy, Image-Guided False Positive Reactions Radiotherapy Dosage
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