AIMC Topic: Sensitivity and Specificity

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Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI.

NeuroImage. Clinical Mar 6, 2019
Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease (PD) as PD is characterized by loss of dopaminergic neurons in the SNc. Curre...
Humans Biomarkers Female Neuroimaging Image Processing, Computer-Assisted Melanins Magnetic Resonance Imaging Multiple System Atrophy Parkinson Disease Supranuclear Palsy, Progressive Diagnosis, Differential Substantia Nigra Sensitivity and Specificity Male Middle Aged Deep Learning
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Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Stochastic Processes Calcinosis Mammography Biopsy Breast Young Adult Adult Prognosis Sensitivity and Specificity Humans Female Breast Neoplasms Neural Networks, Computer Reproducibility of Results Software Middle Aged Aged Algorithms Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer
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Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Male Middle Aged Health Resources ROC Curve Machine Learning Tomography, X-Ray Computed Databases, Factual Female Natural Language Processing Retrospective Studies Aged Humans Area Under Curve Sensitivity and Specificity Liver Neoplasms Research Report Carcinoma, Hepatocellular Radiology Information Systems Ontario Radiology Department, Hospital Predictive Value of Tests
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Detecting abnormal thyroid cartilages on CT using deep learning.

Diagnostic and interventional imaging Feb 25, 2019
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in detecting abnormalities of thyroid cartilage from computed tomography (CT) examination.
Deep Learning Thyroid Neoplasms Neoplasm Invasiveness Datasets as Topic Thyroid Cartilage Humans Algorithms Tomography, X-Ray Computed Sensitivity and Specificity
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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy.

International ophthalmology Feb 23, 2019
PURPOSE: We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).
Diagnosis, Computer-Assisted Deep Learning Area Under Curve Ophthalmoscopy Adult Sensitivity and Specificity Male Middle Aged Diabetic Retinopathy Female Aged Humans
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Mass Screening Predictive Value of Tests Influenza, Human Vital Signs Male Middle Aged Adolescent Child Clinical Decision Rules Humans Machine Learning Female Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity
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Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.

European journal of cancer (Oxford, England : 1990) Feb 22, 2019
BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comp...
Deep Learning Benchmarking Dermatologists Dermatology Humans Germany Melanoma Skin Neoplasms Sensitivity and Specificity
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Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.

Journal of Korean medical science Feb 15, 2019
BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal.
Humans Neural Networks, Computer Sensitivity and Specificity Deep Learning Electrocardiography Atrial Fibrillation Automation
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High-Quality Immunohistochemical Stains Through Computational Assay Parameter Optimization.

IEEE transactions on bio-medical engineering Feb 13, 2019
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The inferences drawn from IHC-stained images depend to a great extent on the quality of immunostaining, which is in turn affected strongly by assay parame...
Female Sensitivity and Specificity Breast Neoplasms Biomarkers, Tumor Staining and Labeling Humans Machine Learning Automation, Laboratory Coloring Agents Immunohistochemistry Microfluidic Analytical Techniques
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ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.

Journal of medical systems Feb 12, 2019
As is eminent, lung cancer is one of the death frightening syndromes among people in present cases. The earlier diagnosis and treatment of lung cancer can increase the endurance rate of the affected people. But, the structure of the cancer cell makes...
Lung Neoplasms Support Vector Machine Fuzzy Logic Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans Sensitivity and Specificity Image Processing, Computer-Assisted
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