AIMC Topic: Sensitivity and Specificity

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Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.

Medical image analysis May 21, 2015
Abdominal segmentation on clinically acquired computed tomography (CT) has been a challenging problem given the inter-subject variance of human abdomens and complex 3-D relationships among organs. Multi-atlas segmentation (MAS) provides a potentially...
Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Radiography, Abdominal Liver Neoplasms Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement
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A novel method for discrimination between innocent and pathological heart murmurs.

Medical engineering & physics May 21, 2015
This paper presents a novel method for discrimination between innocent and pathological murmurs using the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasis o...
Humans Child, Preschool Middle Aged Wavelet Analysis Child Infant Heart Murmurs Support Vector Machine Severity of Illness Index Databases, Factual Phonocardiography Aortic Valve Stenosis Adolescent Aged Aged, 80 and over Sensitivity and Specificity
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Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach.

Psychological medicine May 20, 2015
BACKGROUND: There are currently no neuroanatomical biomarkers of anorexia nervosa (AN) available to make clinical inferences at an individual subject level. We present results of a multivariate machine learning (ML) approach utilizing structural neur...
Young Adult Adult Sensitivity and Specificity Case-Control Studies Machine Learning Algorithms Brain Female Neuroimaging Diagnostic and Statistical Manual of Mental Disorders Anorexia Nervosa Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Probability Humans
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Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data.

The Lancet. Respiratory medicine May 20, 2015
BACKGROUND: Idiopathic pulmonary fibrosis is a progressive fibrotic lung disease that distorts pulmonary architecture, leading to hypoxia, respiratory failure, and death. Diagnosis is difficult because other interstitial lung diseases have similar ra...
Reproducibility of Results Sensitivity and Specificity Male Humans Middle Aged Lung Biopsy Machine Learning Idiopathic Interstitial Pneumonias Diagnosis, Differential Female
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MR image synthesis by contrast learning on neighborhood ensembles.

Medical image analysis May 18, 2015
Automatic processing of magnetic resonance images is a vital part of neuroscience research. Yet even the best and most widely used medical image processing methods will not produce consistent results when their input images are acquired with differen...
Pattern Recognition, Automated Image Enhancement Machine Learning Algorithms Brain Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Signal Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans
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A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.

Medical image analysis May 14, 2015
Inflammatory and infectious lung diseases commonly involve bronchial airway structures and morphology, and these abnormalities are often analyzed non-invasively through high resolution computed tomography (CT) scans. Assessing airway wall surfaces an...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiographic Image Enhancement Bronchography Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Fuzzy Logic Humans Machine Learning Algorithms Tomography, X-Ray Computed
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Comparison of model-based and expert-rule based electrocardiographic identification of the culprit artery in patients with acute coronary syndrome.

Journal of electrocardiology May 8, 2015
BACKGROUND AND PURPOSE: Culprit coronary artery assessment in the triage ECG of patients with suspected acute coronary syndrome (ACS) is relevant a priori knowledge preceding percutaneous coronary intervention (PCI). We compared a model-based automat...
Humans Algorithms Computer Simulation Female Male Middle Aged Diagnosis, Computer-Assisted Reproducibility of Results Models, Cardiovascular Sensitivity and Specificity Electrocardiography Coronary Artery Disease Expert Systems Acute Coronary Syndrome
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Could machine learning improve the prediction of pelvic nodal status of prostate cancer patients? Preliminary results of a pilot study.

Cancer investigation May 7, 2015
We tested and compared performances of Roach formula, Partin tables and of three Machine Learning (ML) based algorithms based on decision trees in identifying N+ prostate cancer (PC). 1,555 cN0 and 50 cN+ PC were analyzed. Results were also verified ...
Humans Artificial Intelligence Decision Trees Male Prostatic Neoplasms Algorithms Middle Aged Pelvis Pilot Projects Aged Lymphatic Metastasis Aged, 80 and over Sensitivity and Specificity
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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Middle Aged Case-Control Studies Lung Neoplasms Adenocarcinoma Adult Sensitivity and Specificity Biomarkers, Tumor Male Smoking Solid Phase Microextraction Humans Breath Tests Aged Carcinoma, Non-Small-Cell Lung Exhalation Aged, 80 and over Mass Spectrometry Small Cell Lung Carcinoma Neural Networks, Computer Young Adult Gas Chromatography-Mass Spectrometry Female Volatile Organic Compounds
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Log-Spiral Keypoint: A Robust Approach toward Image Patch Matching.

Computational intelligence and neuroscience May 5, 2015
Matching of keypoints across image patches forms the basis of computer vision applications, such as object detection, recognition, and tracking in real-world images. Most of keypoint methods are mainly used to match the high-resolution images, which ...
Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Artificial Intelligence Pattern Recognition, Automated Software Algorithms
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