AIMC Topic: Sensitivity and Specificity

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The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.

Medical physics Aug 27, 2019
PURPOSE: An important challenge for deep learning models is generalizing to new datasets that may be acquired with acquisition protocols different from the training set. It is not always feasible to expand training data to the range encountered in cl...
Image Processing, Computer-Assisted Lung Neoplasms False Positive Reactions Humans Radiation Dosage Tomography, X-Ray Computed Normal Distribution Sensitivity and Specificity Deep Learning
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FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

International journal of molecular sciences Aug 26, 2019
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the detection methods of DNA-binding proteins includes yeast one-hybrid methods, bacterial singles and X-ray crystallography methods and others, but these met...
Computational Biology Regression Analysis Machine Learning DNA-Binding Proteins Reproducibility of Results Sensitivity and Specificity ROC Curve
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Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos).

Gastrointestinal endoscopy Aug 21, 2019
BACKGROUND AND AIMS: We developed a system for computer-assisted diagnosis (CAD) for real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinomas (ESCCs) to assist the diagnosis of esophageal cancer.
Precancerous Conditions Esophageal Squamous Cell Carcinoma Narrow Band Imaging Diagnosis, Computer-Assisted Deep Learning Adolescent Esophageal Neoplasms Retrospective Studies Adult Female Sensitivity and Specificity Aged Male Young Adult Middle Aged Humans
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Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.

IEEE transactions on medical imaging Aug 20, 2019
ABUS, or Automated breast ultrasound, is an innovative and promising method of screening for breast examination. Comparing to common B-mode 2D ultrasound, ABUS attains operator-independent image acquisition and also provides 3D views of the whole bre...
Humans Ultrasonography, Mammary Breast Supervised Machine Learning Sensitivity and Specificity Female Image Interpretation, Computer-Assisted Breast Neoplasms Aged Middle Aged Aged, 80 and over Deep Learning Adult
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Machine Learning Diagnosis of Peritonsillar Abscess.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 20, 2019
Peritonsillar abscess (PTA) is a difficult diagnosis to make clinically, with clinical examination of even otolaryngologists showing poor sensitivity and specificity. Machine learning is a form of artificial intelligence that "learns" from data to ma...
Logistic Models Symptom Assessment Peritonsillar Abscess Infant Adolescent Child, Preschool Adult Child Sensitivity and Specificity Male Middle Aged Humans Machine Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over Young Adult
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Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BMC medical informatics and decision making Aug 19, 2019
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification o...
Neural Networks, Computer Adult Deep Learning Mental Disorders Humans Electronic Health Records Decision Support Systems, Clinical Sensitivity and Specificity Female Emergency Service, Hospital Male International Classification of Diseases Case-Control Studies
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ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Journal of biomedical informatics Aug 17, 2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also ...
Retrospective Studies Intensive Care Units Electronic Health Records Reproducibility of Results Sensitivity and Specificity Deep Learning Hospital Mortality ROC Curve Humans Neural Networks, Computer Machine Learning Algorithms Area Under Curve Critical Care Medical Informatics
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Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Virchows Archiv : an international journal of pathology Aug 17, 2019
Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict recurrences in early-stage OTS...
Squamous Cell Carcinoma of Head and Neck Internet Neoplasm Recurrence, Local Tongue Neoplasms Adult Humans Sensitivity and Specificity Neural Networks, Computer Male Middle Aged Machine Learning Prognosis Female Aged
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Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.

Magnetic resonance imaging Aug 16, 2019
BACKGROUND AND PURPOSE: Advanced imaging analysis for the prediction of tumor biology and modelling of clinically relevant parameters using computed imaging features is part of the emerging field of radiomics research. Here we test the hypothesis tha...
Machine Learning Female Aged Sensitivity and Specificity Humans Area Under Curve Meningioma Meningeal Neoplasms Diffusion Magnetic Resonance Imaging Male Middle Aged ROC Curve Support Vector Machine
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Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.

IEEE transactions on medical imaging Aug 15, 2019
Accurate pulmonary nodule detection is a crucial step in lung cancer screening. Computer-aided detection (CAD) systems are not routinely used by radiologists for pulmonary nodule detection in clinical practice despite their potential benefits. Maximu...
Early Detection of Cancer Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Humans Lung Neoplasms Neural Networks, Computer Solitary Pulmonary Nodule Databases, Factual Tomography, X-Ray Computed
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