AIMC Topic: Observer Variation

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A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.

Journal of biomedical informatics Jun 27, 2017
Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes involved in breast cancer can be identified by immunohistochemistry. However, this method has problems arising from the intra-o...
Neural Networks, Computer Machine Learning Prognosis Female Breast Neoplasms Observer Variation Humans
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Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

Artificial intelligence in medicine Apr 27, 2017
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE fram...
Humans Phenotype Electronic Health Records Supervised Machine Learning Reproducibility of Results Data Mining Severity of Illness Index Observer Variation Time Factors Learning Curve Area Under Curve
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Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

The international journal of cardiovascular imaging Apr 13, 2017
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadoli...
Observer Variation Multidetector Computed Tomography Computed Tomography Angiography Coronary Circulation Retrospective Studies Myocardial Perfusion Imaging Female Coronary Angiography Reproducibility of Results Aged Radiographic Image Interpretation, Computer-Assisted Male Coronary Artery Disease Myocardial Infarction Gadolinium DTPA Knowledge Bases Humans Magnetic Resonance Imaging, Cine Middle Aged Cardiac-Gated Imaging Techniques Electrocardiography Iopamidol Contrast Media Predictive Value of Tests Myocardium
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Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

The international journal of cardiovascular imaging Mar 20, 2017
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves of the left ventricle (LV) and describe their interrelations to obtain more detailed information concerning global LV function in order to be able to...
Case-Control Studies Diagnosis, Computer-Assisted Time Factors Magnetic Resonance Imaging Predictive Value of Tests Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Severity of Illness Index Pattern Recognition, Automated Echocardiography, Doppler, Color Myocardial Contraction Principal Component Analysis Myocardial Infarction Image Interpretation, Computer-Assisted Observer Variation Automation Humans
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Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.

Computers in biology and medicine Jan 27, 2017
BACKGROUND: When left untreated, age-related macular degeneration (AMD) is the leading cause of vision loss in people over fifty in the US. Currently it is estimated that about eight million US individuals have the intermediate stage of AMD that is o...
Reproducibility of Results Sensitivity and Specificity Severity of Illness Index Macular Degeneration Image Interpretation, Computer-Assisted Observer Variation Early Diagnosis Pattern Recognition, Automated Fluorescein Angiography Humans Machine Learning Algorithms
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Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.

Journal of magnetic resonance imaging : JMRI Dec 19, 2016
PURPOSE: To evaluate in a multi-institutional study whether radiomic features useful for prostate cancer (PCa) detection from 3 Tesla (T) multi-parametric MRI (mpMRI) in the transition zone (TZ) differ from those in the peripheral zone (PZ).
Finland New York City Reproducibility of Results Aged Image Interpretation, Computer-Assisted Adult Humans Observer Variation Sensitivity and Specificity Middle Aged Machine Learning Internationality Male Pilot Projects Pattern Recognition, Automated Magnetic Resonance Imaging Image Enhancement Australia Prostatic Neoplasms
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Development of a simple and objective evaluation method for thickened liquids using funnels.

Journal of texture studies Dec 7, 2016
UNLABELLED: Some patients with dysphagia are prone to aspiration of low-viscosity liquids. Thickened liquids are often used in attempts to prevent aspiration. The patients should be given thickened liquids with suitable thickness, and the thickness s...
Observer Variation Viscosity Deglutition Disorders Mannans Food, Formulated Enteral Nutrition Solutions Deglutition Time Factors Galactans Plant Gums Humans Models, Theoretical Judgment Female Sensory Thresholds Equipment Design Young Adult Rheology Adult Polysaccharides, Bacterial Adolescent
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Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Aug 12, 2016
BACKGROUND: Measuring the thickness of the stratum corneum (SC) in vivo is often required in pharmacological, dermatological, and cosmetological studies. Reflectance confocal microscopy (RCM) offers a non-invasive imaging-based approach. However, RCM...
Humans Dermoscopy Reproducibility of Results Sensitivity and Specificity Skin Aging Epidermal Cells Microscopy, Interference Microscopy, Confocal Unsupervised Machine Learning Image Interpretation, Computer-Assisted Observer Variation Pattern Recognition, Automated
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Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.

The international journal of cardiovascular imaging Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Observer Variation Retrospective Studies Transposition of Great Vessels Magnetic Resonance Imaging, Cine Female Feasibility Studies Arterial Switch Operation Reproducibility of Results Ventricular Dysfunction, Right Hypertrophy, Right Ventricular Male Humans Heart Ventricles Ventricular Function, Right Time Factors Adolescent Knowledge Bases Image Interpretation, Computer-Assisted Ontario Treatment Outcome Predictive Value of Tests Anatomic Landmarks
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Robotic surgery training: construct validity of Global Evaluative Assessment of Robotic Skills (GEARS).

Journal of robotic surgery Apr 2, 2016
The objective of this study is to determine the ability of the GEARS scale (Global Evaluative Assessment of Robotic Skills) to differentiate individuals with different levels of experience in robotic surgery, as a fundamental validation. This is a cr...
Cross-Sectional Studies Male Robotic Surgical Procedures Humans Surgeons Psychomotor Performance Female Clinical Competence Observer Variation Adult Robotics Venezuela
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