AIMC Topic: Sensitivity and Specificity

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MRI Imaging, Comparison of MRI with other Modalities, Noise in MRI Images and Machine Learning Techniques for Noise Removal: A Review.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Medical imaging is to assume greater and greater significance in an efficient and precise diagnosis process.
Artifacts Male Magnetic Resonance Imaging Diagnostic Imaging Humans Machine Learning Tomography, X-Ray Computed Female Sensitivity and Specificity
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Alzheimer's Disease Classification Based on Multi-feature Fusion.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).
Atrophy Humans Hippocampus Algorithms Confidence Intervals Normal Distribution Brain Cognitive Dysfunction Aged Support Vector Machine Sensitivity and Specificity Diagnosis, Differential Middle Aged Alzheimer Disease Case-Control Studies
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Facial expression recognition based on Electroencephalogram and facial landmark localization.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Facial expression recognition plays an essential role in affective computing, mental illness diagnosis and rehabilitation. Therefore, facial expression recognition has attracted more and more attention over the years.
Sensitivity and Specificity Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Facial Expression Wavelet Analysis Facial Recognition Humans Algorithms Mental Disorders
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Fusion of WPT and MFCC feature extraction in Parkinson's disease diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Parkinson's disease (PD) is a neurological disorder, progressive in nature. In order to provide customized patient care, diagnosis and monitoring using smart gadgets, smartphones, and smartwatches, there is a need for a system that works ...
Wavelet Analysis Severity of Illness Index Speech Production Measurement Qualitative Research Speech Disorders Algorithms Support Vector Machine Sensitivity and Specificity Parkinson Disease Disease Progression
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A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.

Medicine Jan 1, 2019
To evaluate the value of the computer-aided diagnosis (CAD) program applied to diagnostic breast ultrasonography (US) based on operator experience.US images of 100 breast masses from 91 women over 2 months (from May to June 2015) were collected and r...
Adolescent ROC Curve Follow-Up Studies Radiologists Ultrasonography, Mammary Breast Observer Variation Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Clinical Competence Young Adult Adult Sensitivity and Specificity Humans Artificial Intelligence Retrospective Studies Female Aged
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Sensitivity and Specificity Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Neural Networks, Computer Tomography, X-Ray Computed Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Knowledge Bases
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Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Investigative radiology Jan 1, 2019
OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based triage system for the detection of acute findings in abdominal computed tomography (CT) examinations.
Artificial Intelligence Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Humans Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Radiography, Abdominal
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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.
Male Middle Aged Deep Learning Maxillary Sinusitis ROC Curve Humans Area Under Curve Tomography, X-Ray Computed Radiography Female Maxillary Sinus Sensitivity and Specificity
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Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

Journal of clinical gastroenterology Jan 1, 2019
OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report fo...
Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Humans Predictive Value of Tests Female Natural Language Processing Cross-Sectional Studies Colonic Polyps Male California Middle Aged Colonoscopy
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[An artificial neural network model for glioma grading using image information].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Dec 28, 2018
To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retr...
Magnetic Resonance Imaging Sensitivity and Specificity Humans Brain Neoplasms Neural Networks, Computer Neoplasm Grading ROC Curve Retrospective Studies Glioma
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