AIMC Topic: Neural Networks, Computer

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Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Automatic segmentation of individual tooth root is a key technology for the reconstruction of the three-dimensional dental model from Cone Beam Computed Tomography (CBCT) images, which is of great significance for the orthodontic, implant...
Algorithms Humans Cone-Beam Computed Tomography Neural Networks, Computer Tooth Root
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Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings.

Science progress Jan 1, 2020
As one of the key parts of rotary machine, the fault diagnosis and running condition monitoring of rolling bearings are of great importance for normal working and safe production of rotary machine. However, the traditional diagnosis approaches merely...
Physical Therapy Modalities Vibration Recognition, Psychology Neural Networks, Computer Algorithms Intelligence
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Multimodal Medical Image Fusion using Rolling Guidance Filter with CNN and Nuclear Norm Minimization.

Current medical imaging Jan 1, 2020
BACKGROUND: Medical image fusion is very important for the diagnosis and treatment of diseases. In recent years, there have been a number of different multi-modal medical image fusion algorithms that can provide delicate contexts for disease diagnosi...
Neural Networks, Computer Artifacts Algorithms Image Processing, Computer-Assisted Cell Nucleus
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Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.

Journal of X-ray science and technology Jan 1, 2020
OBJECTIVE: This study aims to employ the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of novel coronavirus (COVID-19) infected disease.
COVID-19 Algorithms Tomography, X-Ray Computed Neural Networks, Computer Pandemics Pneumonia, Viral Deep Learning Pneumonia Early Diagnosis Reproducibility of Results Coronavirus Infections Betacoronavirus SARS-CoV-2 Lung Humans
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Improving the accuracy of publicly available search engines in recognizing and classifying dental visual assets using convolutional neural networks.

International journal of computerized dentistry Jan 1, 2020
AIM: To assess the accuracy of DigiBrain4, Inc (DB4) Dental Classifier and DB4 Smart Search Engine* in recognizing, categorizing, and classifying dental visual assets as compared with Google Search Engine, one of the largest publicly available search...
Search Engine Humans Neural Networks, Computer
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Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. ...
Diagnosis, Differential Humans Pandemics Neural Networks, Computer Pneumonia COVID-19 Reproducibility of Results Databases, Factual Radiography, Thoracic Coronavirus Infections SARS-CoV-2 Tomography, X-Ray Computed Algorithms Deep Learning Betacoronavirus Pneumonia, Viral
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SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.

Current medical imaging Jan 1, 2020
BACKGROUND: Glioma is one of the most common and aggressive primary brain tumors that endanger human health. Tumors segmentation is a key step in assisting the diagnosis and treatment of cancer disease. However, it is a relatively challenging task to...
Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Datasets as Topic Neuroimaging Brain Sensitivity and Specificity Brain Neoplasms Humans Neural Networks, Computer
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Skin Disease Classification using Neural Network.

Current medical imaging Jan 1, 2020
BACKGROUND: In this study, a novel and fully automatic skin disease classification approach is proposed using statistical feature extraction and Artificial Neural Network (ANN) based classification using first and second order statistical moments, th...
Skin Diseases Skin Pigmentation Photography Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines.

Current medical imaging Jan 1, 2020
BACKGROUND: Breast cancer is one of the most leading causes of cancer deaths among women. Early detection of cancer increases the survival rate of the affected women. Machine learning approaches that are used for classification of breast cancer usual...
Female Sensitivity and Specificity Breast Neoplasms Humans Neural Networks, Computer Algorithms Breast Diseases Mammography Datasets as Topic Support Vector Machine Radiographic Image Enhancement Early Detection of Cancer
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High-accuracy Automated Diagnosis of Parkinson's Disease.

Current medical imaging Jan 1, 2020
PURPOSE: Parkinson's disease (PD), which is the second most common neurodegenerative disease following Alzheimer's disease, can be diagnosed clinically when about 70% of the dopaminergic neurons are lost and symptoms are noticed. Neuroimaging methods...
Corpus Striatum Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Predictive Value of Tests Neuroimaging Humans Neural Networks, Computer Middle Aged Image Processing, Computer-Assisted Parkinson Disease
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