AIMC Topic: Sensitivity and Specificity

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Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning.

Scientific reports Jun 7, 2016
Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic accuracy of microcalcifications, this study evaluates the performance of deep learning-based models on large datasets for its discrimination. A semi-automa...
Humans Machine Learning Breast Neoplasms Middle Aged China Calcinosis Mammography Female Aged Adult Sensitivity and Specificity
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Metric hashing forests.

Medical image analysis Jun 3, 2016
In this paper, we propose metric Hashing Forests (mHF) which is a supervised variant of random forests tailored for the task of nearest neighbor retrieval through hashing. This is achieved by training independent hashing trees that parse and encode t...
Neurons Archives Machine Learning Databases, Factual Reproducibility of Results Sensitivity and Specificity Humans
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Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 30, 2016
Attributes of the retinal vessel play important role in systemic conditions and ophthalmic diagnosis. In this paper, a supervised method based on Extreme Learning Machine (ELM) is proposed to segment retinal vessel. Firstly, a set of 39-D discriminat...
Sensitivity and Specificity Color Diagnosis, Computer-Assisted Humans Fundus Oculi China Databases, Factual Supervised Machine Learning Image Processing, Computer-Assisted Retinal Vessels
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Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery.

IEEE journal of biomedical and health informatics May 27, 2016
Studies associating changes in the levels of multiple biomolecules including proteins, glycans, glycoproteins, and metabolites with the onset of cancer have been widely investigated to identify clinically relevant diagnostic biomarkers. Advances in l...
Humans Diagnosis, Differential Biomarkers Liver Neoplasms Sensitivity and Specificity Computational Biology Neoplasms Liver Cirrhosis Support Vector Machine
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Dynamic cerebral reorganization in the pathophysiology of schizophrenia: a MRI-derived cortical thickness study.

Psychological medicine May 26, 2016
BACKGROUND: A structural neuroanatomical change indicating a reduction in brain tissue is a notable feature of schizophrenia. Several pathophysiological processes such as aberrant cortical maturation, progressive tissue loss and compensatory tissue i...
Disease Progression Time Factors Support Vector Machine Magnetic Resonance Imaging Neuronal Plasticity Schizophrenia Cerebral Cortex Young Adult Adult Sensitivity and Specificity Male Humans Female
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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Olfactory Bulb Electric Stimulation Magnetic Resonance Imaging Rats, Sprague-Dawley Brain Mapping Supervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Smell Image Enhancement Animals Male Spatio-Temporal Analysis Rats Algorithms Reproducibility of Results Sensitivity and Specificity
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Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process.

Medical image analysis May 14, 2016
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule endoscopy (WCE). Both of these techniques produce a large number of images in each diagnosis. The lesion detection done by hand from the images above...
Sensitivity and Specificity Area Under Curve Endoscopy, Gastrointestinal Hemorrhage Image Interpretation, Computer-Assisted Capsule Endoscopy Intestine, Small Gastrointestinal Diseases Humans Machine Learning Reproducibility of Results Digestive System Neoplasms
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Multimodal Imaging Supervised Machine Learning Positron-Emission Tomography Pattern Recognition, Automated Algorithms Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Radiation Protection Image Enhancement Radiation Dosage Radiation Exposure Subtraction Technique Humans
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Prediction of brain maturity in infants using machine-learning algorithms.

NeuroImage May 11, 2016
Recent resting-state functional MRI investigations have demonstrated that much of the large-scale functional network architecture supporting motor, sensory and cognitive functions in older pediatric and adult populations is present in term- and prema...
Humans Algorithms Brain Regression Analysis Brain Mapping Sensitivity and Specificity Image Interpretation, Computer-Assisted Male Pattern Recognition, Automated Prognosis Support Vector Machine Infant, Premature Female Magnetic Resonance Imaging Image Enhancement Infant, Newborn Gestational Age Reproducibility of Results
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Classification of amyloid status using machine learning with histograms of oriented 3D gradients.

NeuroImage. Clinical May 10, 2016
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using standardised uptake value ratios. Using these ratios as an adjunct to visual image assessment has been shown to improve inter-reader reliability, howe...
Carbon Radioisotopes Aged Support Vector Machine Ethylene Glycols Positron-Emission Tomography Aged, 80 and over Radiopharmaceuticals Humans Stilbenes Sensitivity and Specificity Alzheimer Disease Brain Male Amyloid Aniline Compounds Female Image Interpretation, Computer-Assisted Reproducibility of Results
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