AIMC Topic: Sensitivity and Specificity

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Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Radiographic Image Interpretation, Computer-Assisted Young Adult Hospitals, Teaching Adult Sensitivity and Specificity Adolescent Male Multiple Pulmonary Nodules Female Middle Aged Solitary Pulmonary Nodule Humans Lung Reproducibility of Results Retrospective Studies Deep Learning Aged Tomography, X-Ray Computed Aged, 80 and over
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Feature-fusion improves MRI single-shot deep learning detection of small brain metastases.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Aug 13, 2021
BACKGROUND AND PURPOSE: To examine whether feature-fusion (FF) method improves single-shot detector's (SSD's) detection of small brain metastases on contrast-enhanced (CE) T1-weighted MRI.
Magnetic Resonance Imaging Sensitivity and Specificity Humans Brain Neoplasms Algorithms Male Deep Learning
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An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs.

BMC medical imaging Aug 13, 2021
BACKGROUND: Panoramic radiography is an imaging method for displaying maxillary and mandibular teeth together with their supporting structures. Panoramic radiography is frequently used in dental imaging due to its relatively low radiation dose, short...
Humans Neural Networks, Computer Algorithms Sensitivity and Specificity Deep Learning Tooth Radiography, Panoramic Datasets as Topic
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Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA.

AJNR. American journal of neuroradiology Aug 12, 2021
BACKGROUND AND PURPOSE: The detection of cerebral aneurysms on MRA is a challenging task. Recent studies have used deep learning-based software for automated detection of aneurysms on MRA and have reported high performance. The purpose of this study ...
Intracranial Aneurysm Humans Software Brain Retrospective Studies Sensitivity and Specificity Deep Learning Magnetic Resonance Angiography
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Deep learning-based transformation of H&E stained tissues into special stains.

Nature communications Aug 12, 2021
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide additional contrast to different tissue components. Here, we demonstra...
Coloring Agents Reference Standards Biopsy, Large-Core Needle Pathology, Clinical Kidney Kidney Diseases Diagnosis, Differential Humans Sensitivity and Specificity Algorithms Diagnosis, Computer-Assisted Reproducibility of Results Deep Learning Staining and Labeling
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Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI.

Parkinsonism & related disorders Aug 11, 2021
OBJECTIVE: This study aimed to develop an automatic classifier to distinguish different motor subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional magnetic resonance imaging (rs-fMRI).
Multilevel Analysis Postural Balance Gait Rest Statistics, Nonparametric Magnetic Resonance Imaging Parkinson Disease Area Under Curve Male Middle Aged ROC Curve Humans Support Vector Machine Machine Learning Brain Female Aged Sensitivity and Specificity
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SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3' tag-based RNA-seq of single cells.

Genome biology Aug 10, 2021
Single-cell RNA-seq (scRNA-seq) profiles gene expression with high resolution. Here, we develop a stepwise computational method-called SCAPTURE to identify, evaluate, and quantify cleavage and polyadenylation sites (PASs) from 3' tag-based scRNA-seq....
Humans COVID-19 SARS-CoV-2 Sensitivity and Specificity Single-Cell Analysis Transcriptome RNA-Seq Deep Learning Sequence Analysis, RNA Polyadenylation
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Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions.

Chest Aug 9, 2021
BACKGROUND: The landscape of guided bronchoscopy for the sampling of pulmonary parenchymal lesions is evolving rapidly. Shape-sensing robotic-assisted bronchoscopy (ssRAB) recently was introduced as means to allow successful sampling of traditionally...
Female Aged Sensitivity and Specificity Male Humans Retrospective Studies Feasibility Studies Middle Aged Lung Neoplasms Bronchoscopy Robotics
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Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection.

Scientific reports Aug 9, 2021
To speed up the discovery of COVID-19 disease mechanisms by X-ray images, this research developed a new diagnosis platform using a deep convolutional neural network (DCNN) that is able to assist radiologists with diagnosis by distinguishing COVID-19 ...
Pneumonia Radiography, Thoracic X-Rays Humans SARS-CoV-2 Neural Networks, Computer Sensitivity and Specificity COVID-19 Deep Learning Algorithms Diagnosis, Differential
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Validating deep learning inference during chest X-ray classification for COVID-19 screening.

Scientific reports Aug 9, 2021
The new coronavirus unleashed a worldwide pandemic in early 2020, and a fatality rate several times that of the flu. As the number of infections soared, and capabilities for testing lagged behind, chest X-ray (CXR) imaging became more relevant in the...
Humans Neural Networks, Computer Pandemics COVID-19 Lung Algorithms Deep Learning Reproducibility of Results Radiography, Thoracic SARS-CoV-2 X-Rays Sensitivity and Specificity
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