AIMC Topic: Sensitivity and Specificity

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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Radiology Apr 10, 2018
Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from coronary CT angiography based on computational fluid dynamics (hereafter, FFR) and F...
Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Algorithms Coronary Angiography Hydrodynamics Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Male Middle Aged Hemodynamics Predictive Value of Tests
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Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning.

Epilepsia Apr 10, 2018
OBJECTIVE: Focal cortical dysplasia (FCD) is a major pathology in patients undergoing surgical resection to treat pharmacoresistant epilepsy. Magnetic resonance imaging (MRI) postprocessing methods may provide essential help for detection of FCD. In ...
Middle Aged Malformations of Cortical Development, Group I Adolescent Young Adult Area Under Curve Humans Child, Preschool Epilepsy Adult Machine Learning Child Neuroimaging Sensitivity and Specificity Brain ROC Curve Male Female Magnetic Resonance Imaging
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Abnormal brain structure as a potential biomarker for venous erectile dysfunction: evidence from multimodal MRI and machine learning.

European radiology Mar 29, 2018
OBJECTIVES: To investigate the cerebral structural changes related to venous erectile dysfunction (VED) and the relationship of these changes to clinical symptoms and disorder duration and distinguish patients with VED from healthy controls using a m...
Adult Sensitivity and Specificity Male Magnetic Resonance Imaging Diffusion Tensor Imaging Brain Mapping Multimodal Imaging Brain Diseases Erectile Dysfunction Machine Learning Humans Biomarkers Brain Reproducibility of Results
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Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Academic radiology Mar 28, 2018
RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four hea...
Radiography Lumbar Vertebrae Low Back Pain Humans Male Aged Machine Learning Aged, 80 and over Cohort Studies Middle Aged Female Adult Magnetic Resonance Imaging Natural Language Processing Sensitivity and Specificity
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Novel computer algorithm for cough monitoring based on octonions.

Respiratory physiology & neurobiology Mar 27, 2018
The objective assessment of cough frequency is essential for evaluation of cough and antitussive therapies. Nonetheless, available algorithms for automatic detection of cough sound have limited sensitivity and the analysis of cough sound often requir...
Male Middle Aged Diagnosis, Computer-Assisted Monitoring, Physiologic Aged Cough Aged, 80 and over Acoustics Adult Sensitivity and Specificity Humans Neural Networks, Computer Female
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Deep learning in mammography and breast histology, an overview and future trends.

Medical image analysis Mar 26, 2018
Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promisin...
Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Mammography Humans Forecasting Phenotype Neural Networks, Computer Female Algorithms Sensitivity and Specificity
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Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling.

Journal of medical systems Mar 26, 2018
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide a new computer-vision based technique to detect it in an efficient way. The brain-imaging data of 98 AD patients and 98 healthy controls was collected using...
Image Processing, Computer-Assisted Alzheimer Disease Aged Aged, 80 and over Sensitivity and Specificity Male Humans Neural Networks, Computer Machine Learning Female
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Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning.

The Laryngoscope Mar 25, 2018
OBJECTIVE: To determine if multispectral narrow-band imaging (mNBI) can be used for automated, quantitative detection of oropharyngeal carcinoma (OPC).
Carcinoma Pattern Recognition, Automated Oropharyngeal Neoplasms Narrow Band Imaging Male Middle Aged Diagnosis, Differential Bayes Theorem Female Aged Aged, 80 and over Sensitivity and Specificity Humans Machine Learning Prospective Studies
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Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.

Medical physics Mar 25, 2018
PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign angiomyolipoma without visible fat (AMLwvf) from malignant clear cell renal cell carcinoma (ccRCC) from abdominal contrast-enhanced computer tomograph...
Humans Machine Learning Diagnosis, Differential Kidney Neoplasms Carcinoma, Renal Cell Radiography, Abdominal Angiomyolipoma Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Contrast Media
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Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.

IEEE transactions on bio-medical engineering Mar 22, 2018
GOAL: We present a model-based feature augmentation scheme to improve the performance of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets with respect to learning from images alone.
Models, Cardiovascular Magnetic Resonance Imaging Humans Heart Machine Learning Image Interpretation, Computer-Assisted Algorithms Catheter Ablation Sensitivity and Specificity
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