AIMC Topic: Sensitivity and Specificity

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Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model.

Ciencia & saude coletiva Mar 1, 2019
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory...
Patient Admission Respiratory Tract Diseases Air Pollutants Air Pollution Particulate Matter Environmental Exposure Brazil Models, Theoretical Fuzzy Logic Humans Reproducibility of Results Hospitalization Sensitivity and Specificity
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Deep Learning Approach for Assessment of Bladder Cancer Treatment Response.

Tomography (Ann Arbor, Mich.) Mar 1, 2019
We compared the performance of different Deep learning-convolutional neural network (DL-CNN) models for bladder cancer treatment response assessment based on transfer learning by freezing different DL-CNN layers and varying the DL-CNN structure. Pre-...
Neoadjuvant Therapy Urinary Bladder Neoplasms Drug Monitoring Radiographic Image Interpretation, Computer-Assisted ROC Curve Decision Support Systems, Clinical Treatment Outcome Cystectomy Urography Transfer, Psychology Humans Tomography, X-Ray Computed Sensitivity and Specificity Antineoplastic Agents Deep Learning
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Diabetic Retinopathy Neural Networks, Computer Retrospective Studies Female Humans Macula Lutea Ranibizumab Photography Tomography, Optical Coherence Deep Learning Image Interpretation, Computer-Assisted Fundus Oculi Angiogenesis Inhibitors False Positive Reactions Macular Edema Sensitivity and Specificity Randomized Controlled Trials as Topic Intravitreal Injections Vascular Endothelial Growth Factor A Diagnostic Techniques, Ophthalmological Predictive Value of Tests Male Middle Aged
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Whole-brain structural magnetic resonance imaging-based classification of primary dysmenorrhea in pain-free phase: a machine learning study.

Pain Mar 1, 2019
To develop a machine learning model to investigate the discriminative power of whole-brain gray-matter (GM) images derived from primary dysmenorrhea (PDM) women and healthy controls (HCs) during the pain-free phase and further evaluate the predictive...
Humans Machine Learning Brain Female Magnetic Resonance Imaging Brain Mapping Gray Matter Dysmenorrhea Young Adult Adult Sensitivity and Specificity Surveys and Questionnaires
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Low coherence quantitative phase microscopy with machine learning model and Raman spectroscopy for the study of breast cancer cells and their classification.

Applied optics Feb 10, 2019
Early-stage detection of breast cancer is the primary requirement in modern healthcare as it is the most common cancer among women worldwide. Histopathology is the most widely preferred method for the diagnosis of breast cancer, but it requires long ...
Microscopy, Interference Interferometry Breast Neoplasms ROC Curve Machine Learning Spectrum Analysis, Raman Female Reproducibility of Results Sensitivity and Specificity Humans
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Using Deep Learning in Automated Detection of Graft Detachment in Descemet Membrane Endothelial Keratoplasty: A Pilot Study.

Cornea Feb 1, 2019
PURPOSE: To evaluate a deep learning-based method to automatically detect graft detachment (GD) after Descemet membrane endothelial keratoplasty (DMEK) in anterior segment optical coherence tomography (AS-OCT).
Female Descemet Stripping Endothelial Keratoplasty Aged Middle Aged Humans Sensitivity and Specificity Tomography, Optical Coherence Deep Learning Neural Networks, Computer Male Endothelium, Corneal Pilot Projects Descemet Membrane Graft Rejection
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Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network.

Journal of digital imaging Feb 1, 2019
Colorectal cancer (CRC) is a major global health concern. Its early diagnosis is extremely important, as it determines treatment options and strongly influences the length of survival. Histologic diagnosis can be made by pathologists based on images ...
Sensitivity and Specificity Colorectal Neoplasms Diagnostic Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Republic of Korea
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[A DenseNet-based diagnosis algorithm for automated diagnosis using clinical ECG data].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 30, 2019
OBJECTIVE: To train convolutional networks using multi-lead ECG data and classify new data accurately to provide reliable information for clinical diagnosis.
Humans Neural Networks, Computer Algorithms Sensitivity and Specificity Electrocardiography Arrhythmias, Cardiac Databases as Topic
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Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Brain tumor is the leading cause of death worldwide. It is obvious that the chances of survival can be increased if the tumor is identified and properly classified at an initial stage. MRI (Magnetic Resonance Imaging) is one source of bra...
Magnetic Resonance Imaging Databases, Factual Humans Decision Trees Machine Learning Retrospective Studies Bayes Theorem Algorithms Sensitivity and Specificity Brain Neoplasms
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An Intensity Variation Pattern Analysis Based Machine Learning Classifier for MRI Brain Tumor Detection.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: An accurate detection of tumor from the Magnetic Resonance Images (MRIs) is a critical and demanding task in medical image processing, due to the varying shape and structure of brain. So, different segmentation approaches such as manual, ...
Brain Neoplasms Humans Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Algorithms Sensitivity and Specificity
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