AIMC Topic: Diagnosis, Computer-Assisted

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Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, a...
Models, Statistical Pattern Recognition, Automated False Positive Reactions Maxillary Sinus Humans Tomography, X-Ray Computed Neural Networks, Computer Reproducibility of Results Software Diagnosis, Computer-Assisted Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown th...
Neuroimaging Neurilemmoma Neuroma, Acoustic Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Automation Humans Pattern Recognition, Automated Machine Learning Software Algorithms Reproducibility of Results Diagnosis, Computer-Assisted
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Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.

European radiology Jul 14, 2020
OBJECTIVES: To evaluate the calibration of a deep learning (DL) model in a diagnostic cohort and to improve model's calibration through recalibration procedures.
Bayes Theorem Pattern Recognition, Automated Calibration Reference Standards Radiography, Thoracic Humans ROC Curve Image Processing, Computer-Assisted Algorithms Predictive Value of Tests Male Area Under Curve Retrospective Studies Middle Aged Female Lung Reproducibility of Results Diagnosis, Computer-Assisted Aged Deep Learning Adult
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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...
Humans Neural Networks, Computer Algorithms Computer Simulation Reproducibility of Results Diagnosis, Computer-Assisted Ultrasonography Imaging, Three-Dimensional Orthopedics Image Processing, Computer-Assisted Bone Diseases Fluoroscopy Acoustics Artifacts Bone and Bones Orthopedic Procedures
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Fast interactive medical image segmentation with weakly supervised deep learning method.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: To achieve accurate image segmentation, which is the first critical step in medical image analysis and interventions, using deep neural networks seems a promising approach provided sufficiently large and diverse annotated data from experts. ...
Pattern Recognition, Automated Brachytherapy Reproducibility of Results Male Echocardiography Diagnosis, Computer-Assisted Deep Learning Ultrasonography Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Observer Variation Humans Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
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Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The international journal of cardiovascular imaging Jul 8, 2020
The main objective of this study was to investigate the diagnostic performance of FINE in generating and displaying 3 specific abnormal fetal echocardiography views such as left ventricular outflow tract (LVOT) view, right ventricular outflow tract (...
Ultrasonography, Prenatal Spatio-Temporal Analysis Diagnosis, Computer-Assisted Predictive Value of Tests Anatomic Landmarks Image Interpretation, Computer-Assisted Gestational Age Double Outlet Right Ventricle Fetal Heart Echocardiography, Four-Dimensional Pregnancy Female Reproducibility of Results Young Adult Adult Humans Artificial Intelligence
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Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.

Medical & biological engineering & computing Jul 7, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Signal Processing, Computer-Assisted Markov Chains Wavelet Analysis Models, Cardiovascular Biomedical Engineering Humans Neural Networks, Computer Algorithms Cardiovascular Diseases Diagnosis, Computer-Assisted Heart Sounds Phonocardiography
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Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.

The Journal of pathology Jul 7, 2020
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treatment instructions, and prognosis evaluation in kidney diseases. These time-consuming tasks require a more accurate and reproducible quantitative analy...
Humans Neural Networks, Computer Kidney Diseases Female Kidney Glomerulus Adult Glomerulonephritis, IGA Male Mesangial Cells Diagnosis, Computer-Assisted Podocytes Deep Learning
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
BACKGROUND: Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation i...
Reproducibility of Results Aged Male Middle Aged Diagnosis, Computer-Assisted Humans Neural Networks, Computer Female Atrial Function, Left Signal Processing, Computer-Assisted Electrophysiologic Techniques, Cardiac Registries Atrial Function, Right Atrial Fibrillation Heart Rate Time Factors Pattern Recognition, Automated Support Vector Machine Action Potentials Predictive Value of Tests
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Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are...
Arrhythmias, Cardiac Heart Rate Electrophysiologic Techniques, Cardiac Humans Electrocardiography Action Potentials Artificial Intelligence Machine Learning Predictive Value of Tests Prognosis Signal Processing, Computer-Assisted Reproducibility of Results Heart Conduction System Diagnosis, Computer-Assisted Deep Learning
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