AIMC Topic: Sensitivity and Specificity

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Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.

IEEE journal of biomedical and health informatics Dec 19, 2019
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in the successful treatment of the disease and the effective reduction of deaths. In this paper, deep learning technology combined with ultrasound imagin...
Algorithms Female Sensitivity and Specificity Breast Neoplasms Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Deep Learning Ultrasonography, Mammary Breast
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A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.

NeuroImage Dec 16, 2019
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD. Although some treatments can delay its progression, no effective cures are available for AD. Accura...
Image Interpretation, Computer-Assisted Hippocampus Neuroimaging Models, Theoretical Neural Networks, Computer Magnetic Resonance Imaging Female Alzheimer Disease Aged Male Humans Aged, 80 and over Cognitive Dysfunction Sensitivity and Specificity
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Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.

Medical image analysis Dec 12, 2019
A number of studies on lung nodule classification lack clinical/biological interpretations of the features extracted by convolutional neural network (CNN). The methods like class activation mapping (CAM) and gradient-based CAM (Grad-CAM) are tailored...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity Lung Neoplasms
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Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.

Neuroradiology Dec 11, 2019
PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prioritization of acute intracranial hemorrhage on non-contrast head CT (NCCT) in various clinical settings at an academic medical center.
Predictive Value of Tests Acute Disease Intracranial Hemorrhages Software Prospective Studies Tomography, X-Ray Computed Male Deep Learning Female Sensitivity and Specificity Humans
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Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

European radiology Dec 10, 2019
OBJECTIVES: To evaluate the diagnostic performance of a deep learning algorithm for automated detection of small F-FDG-avid pulmonary nodules in PET scans, and to assess whether novel block sequential regularized expectation maximization (BSREM) reco...
Humans Artificial Intelligence Algorithms Retrospective Studies Adult Sensitivity and Specificity Male Middle Aged Female Aged Aged, 80 and over Fluorodeoxyglucose F18 Multiple Pulmonary Nodules Solitary Pulmonary Nodule Deep Learning Positron Emission Tomography Computed Tomography Image Processing, Computer-Assisted Radiopharmaceuticals Lung Neoplasms
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Algorithms Electronic Health Records Female Sensitivity and Specificity Male Aged Pulmonary Disease, Chronic Obstructive Humans Support Vector Machine Machine Learning Bayes Theorem Middle Aged Predictive Value of Tests ROC Curve Logistic Models
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Representation learning in intraoperative vital signs for heart failure risk prediction.

BMC medical informatics and decision making Dec 9, 2019
BACKGROUND: The probability of heart failure during the perioperative period is 2% on average and it is as high as 17% when accompanied by cardiovascular diseases in China. It has been the most significant cause of postoperative death of patients. Ho...
Heart Failure Risk Vital Signs Intraoperative Complications Humans Risk Assessment Monitoring, Intraoperative Machine Learning Neural Networks, Computer Decision Trees Sensitivity and Specificity China Area Under Curve
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Fast fully automatic heart fat segmentation in computed tomography datasets.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 6, 2019
Heart diseases affect a large part of the world's population. Studies have shown that these diseases are related to cardiac fat. Various medical diagnostic aid systems are developed to reduce these diseases. In this context, this paper presents a new...
Adipose Tissue Humans Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Tomography, X-Ray Computed Sensitivity and Specificity Support Vector Machine Cardiovascular Diseases
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Broad-specificity ELISA with a heterogeneous strategy for sensitive detection of microcystins and nodularin.

Toxicon : official journal of the International Society on Toxinology Dec 6, 2019
A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciELISA) method was developed for the simultaneous detection of nine microcystins (MCs) and nodularin (NOD) using MC-LR-keyhole limpet hemocyanin (KLH) fo...
Peptides, Cyclic Limit of Detection Sensitivity and Specificity Rabbits Animals Microcystins Enzyme-Linked Immunosorbent Assay
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A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks.

Physics in medicine and biology Dec 5, 2019
Compared with conventional gastroscopy which is invasive and painful, wireless capsule endoscopy (WCE) can provide noninvasive examination of gastrointestinal (GI) tract. The WCE video can effectively support physicians to reach a diagnostic decision...
Diagnosis, Computer-Assisted Gastrointestinal Tract Capsule Endoscopy Ulcer Humans Neural Networks, Computer Sensitivity and Specificity
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