AIMC Topic: Sensitivity and Specificity

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Efficient and robust cell detection: A structured regression approach.

Medical image analysis Jul 26, 2017
Efficient and robust cell detection serves as a critical prerequisite for many subsequent biomedical image analysis methods and computer-aided diagnosis (CAD). It remains a challenging task due to touching cells, inhomogeneous background noise, and l...
Neural Networks, Computer Algorithms Humans Deep Learning Cytological Techniques Bone Marrow Cells Neuroendocrine Tumors Breast Neoplasms Uterine Cervical Neoplasms Diagnosis, Computer-Assisted Female Reproducibility of Results Sensitivity and Specificity
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Deep learning poised to revolutionise diagnostic imaging.

The Lancet. Respiratory medicine Jul 19, 2017
Lung Diseases Image Interpretation, Computer-Assisted Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Diagnostic Imaging Machine Learning Tomography, X-Ray Computed Humans
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Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

Medical physics Jul 18, 2017
PURPOSE: Colitis refers to inflammation of the inner lining of the colon that is frequently associated with infection and allergic reactions. In this paper, we propose deep convolutional neural networks methods for lesion-level colitis detection and ...
Tomography, X-Ray Computed Sensitivity and Specificity Support Vector Machine Colitis Humans Neural Networks, Computer
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Models, Theoretical Support Vector Machine Bayes Theorem Depressive Disorder, Major Surveys and Questionnaires Logistic Models Electroencephalography Female Reproducibility of Results Young Adult Male Middle Aged Adult Sensitivity and Specificity Humans
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Classification and analysis of a large collection of in vivo bioassay descriptions.

PLoS computational biology Jul 5, 2017
Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehens...
Reproducibility of Results Sensitivity and Specificity Natural Language Processing Drug Evaluation, Preclinical Machine Learning Databases, Factual Biological Assay Data Mining High-Throughput Screening Assays
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Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization.

Journal of healthcare engineering Jul 4, 2017
With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly coveted. In recent years, numerous individual machine learning-based classifiers have been proposed and t...
Diagnosis, Computer-Assisted Support Vector Machine Humans Algorithms Sensitivity and Specificity
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Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.

Radiology Jul 3, 2017
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations an...
Radiology Information Systems Systems Integration Craniocerebral Trauma Critical Care Pattern Recognition, Automated Head Medical Order Entry Systems Tomography, X-Ray Computed Female Reproducibility of Results Middle Aged Decision Support Systems, Clinical Sensitivity and Specificity Male Humans Machine Learning Algorithms
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Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.

Medical image analysis Jun 30, 2017
Accurate lung nodule segmentation from computed tomography (CT) images is of great importance for image-driven lung cancer analysis. However, the heterogeneity of lung nodules and the presence of similar visual characteristics between nodules and the...
Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Lung Neoplasms Sensitivity and Specificity Diagnosis, Computer-Assisted Humans
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Reliability of an automatic classifier for brain enlarged perivascular spaces burden and comparison with human performance.

Clinical science (London, England : 1979) Jun 28, 2017
In the brain, enlarged perivascular spaces (PVS) relate to cerebral small vessel disease (SVD), poor cognition, inflammation and hypertension. We propose a fully automatic scheme that uses a support vector machine (SVM) to classify the burden of PVS ...
Observer Variation Atrophy Basal Ganglia Cerebral Small Vessel Diseases Support Vector Machine Magnetic Resonance Imaging Stroke Middle Aged ROC Curve Image Processing, Computer-Assisted Humans Reproducibility of Results Aged Sensitivity and Specificity
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Assessment of pose repeatability and specimen repositioning of a robotic joint testing platform.

Medical engineering & physics Jun 24, 2017
This paper describes the quantitative assessment of a robotic testing platform, consisting of an industrial robot and a universal force-moment sensor, via the design of fixtures used to hold the tibia and femur of cadaveric knees. This platform was u...
Robotics Equipment Design Range of Motion, Articular Reproducibility of Results Sensitivity and Specificity Posture Joints Patient Positioning Equipment Failure Analysis Humans
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