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Observer Variation

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Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

European journal of radiology Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Female Reproducibility of Results Aged Aged, 80 and over Male Humans Machine Learning Algorithms Spinal Stenosis Outcome Assessment, Health Care Observer Variation Reference Standards Middle Aged Cohort Studies Magnetic Resonance Imaging Lumbar Vertebrae
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Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.

Medical physics Feb 19, 2019
PURPOSE: Reliable automated segmentation of the prostate is indispensable for image-guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostate Observer Variation Automation Humans Neural Networks, Computer Algorithms Male Imaging, Three-Dimensional
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Neoplasm Invasiveness Area Under Curve Neoplasm Staging Observer Variation Ultrasonography, Doppler Thyroid Neoplasms Neural Networks, Computer Thyroid Nodule Databases, Factual ROC Curve Retrospective Studies Image Processing, Computer-Assisted Female Humans Adult Sensitivity and Specificity Male Middle Aged Cohort Studies
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Predictive Value of Tests Myocardium Workflow Image Interpretation, Computer-Assisted Observer Variation Cardiovascular Diseases Middle Aged Deep Learning Magnetic Resonance Imaging Automation Humans Prospective Studies Female Reproducibility of Results Aged Adult Male
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Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network.

AJR. American journal of roentgenology Oct 9, 2018
OBJECTIVE: The purpose of this study is to determine whether a deep convolutional neural network (DCNN) trained on a dataset of limited size can accurately diagnose traumatic pediatric elbow effusion on lateral radiographs.
Humans Neural Networks, Computer Retrospective Studies Female Elbow Joint Young Adult Diagnosis, Computer-Assisted Sensitivity and Specificity Observer Variation Adolescent Male Elbow Injuries Child, Preschool Infant Child Radiography
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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

NeuroImage Oct 6, 2018
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and long...
Magnetic Resonance Imaging Multiple Sclerosis Spinal Cord Observer Variation Humans Pattern Recognition, Automated Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted
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Determination of mammographic breast density using a deep convolutional neural network.

The British journal of radiology Oct 1, 2018
OBJECTIVE: High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue a...
Precancerous Conditions Breast Density Image Processing, Computer-Assisted Mammography Switzerland Breast Middle Aged Observer Variation Deep Learning Cohort Studies ROC Curve Humans Neural Networks, Computer Retrospective Studies Female Aged Adult Breast Neoplasms
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Observer Variation Automation Magnetic Resonance Imaging, Cine Deep Learning Ventricular Function, Right Aged Neural Networks, Computer Humans Predictive Value of Tests Myocardial Contraction Databases, Factual Male Heart Diseases Female Ventricular Function, Left Reproducibility of Results Image Interpretation, Computer-Assisted Stroke Volume Middle Aged
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Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Coronary Artery Disease Observer Variation Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Aged Sensitivity and Specificity Male Humans Middle Aged Diagnosis, Computer-Assisted Artificial Intelligence Retrospective Studies Female
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Live remote digital microscopy in peripheral blood smear evaluation: Intraobserver concordance and experience.

International journal of laboratory hematology Aug 14, 2018
INTRODUCTION: Peripheral blood smear (PBS) review is a routine laboratory test which requires pathologist's interpretation when abnormal indices, atypical cells, or critical findings are identified. Real-time remote digital microscopy (DM) can potent...
Robotics Humans Microscopy Female Observer Variation Male Blood Cells Image Processing, Computer-Assisted
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