AIMC Topic: Radiography, Thoracic

Clear Filters Showing 441 to 450 of 591 articles

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 14, 2018
Medical datasets are often highly imbalanced with over-representation of prevalent conditions and poor representation of rare medical conditions. Due to privacy concerns, it is challenging to aggregate large datasets between health care institutions....
Neural Networks, Computer Databases, Factual Adult Image Interpretation, Computer-Assisted Radiography, Thoracic Respiratory Tract Diseases Humans
View on PubMed DOI

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.

Radiology Nov 13, 2018
Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. Materials and Methods In a retrospective study, 216 431 frontal chest radiographs obtained between ...
Radiography, Thoracic Lung ROC Curve Radiologists Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Humans Female Neural Networks, Computer Male
View on PubMed DOI

Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.

Radiology Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Neural Networks, Computer Databases, Factual Female Infant, Newborn Humans Thorax Adolescent Child, Preschool Child ROC Curve Radiographic Image Interpretation, Computer-Assisted Heart Failure Adult Natriuretic Peptide, Brain Male Radiography, Thoracic Aged Middle Aged Aged, 80 and over Infant Young Adult
View on PubMed DOI

Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.

Acta oncologica (Stockholm, Sweden) Nov 6, 2018
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation technique was applied to multiple organs at risk (OARs) depicted in computed tomography (CT) images of lung cancer patients, and the results were compar...
Image Processing, Computer-Assisted Lung Neoplasms Esophagus Spine Humans Neural Networks, Computer Tomography, X-Ray Computed Radiography, Thoracic Organs at Risk Radiography, Abdominal Radiotherapy Planning, Computer-Assisted Atlases as Topic Tumor Burden Anatomy, Artistic Pattern Recognition, Automated
View on PubMed DOI

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

PLoS medicine Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
Deep Learning United States Pneumonia Predictive Value of Tests Male Middle Aged Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Radiography, Thoracic Humans Retrospective Studies Female Reproducibility of Results Aged Adult Cross-Sectional Studies
View on PubMed DOI

Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.

Computers in biology and medicine Oct 12, 2018
OBJECTIVE: A novel computer-aided detection (CAD) scheme for lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy is proposed to assist radiologists by providing a second opinion on accura...
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Imaging, Three-Dimensional Lung Neoplasms Cluster Analysis Humans Solitary Pulmonary Nodule Neural Networks, Computer Tomography, X-Ray Computed Lung
View on PubMed DOI

Detecting drug-resistant tuberculosis in chest radiographs.

International journal of computer assisted radiology and surgery Oct 3, 2018
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of contro...
Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Female Male Tuberculosis, Multidrug-Resistant Probability Middle Aged Radiography, Thoracic Pilot Projects ROC Curve Diagnosis, Differential
View on PubMed DOI

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Radiology Sep 25, 2018
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare its performance with physicians including thoracic radiologists. Materials and Methods For ...
Aged, 80 and over Humans Multiple Pulmonary Nodules Young Adult Radiographic Image Interpretation, Computer-Assisted Middle Aged Female Adult Algorithms Radiography, Thoracic Deep Learning Male Retrospective Studies Reproducibility of Results Adolescent Aged Lung Neoplasms
View on PubMed DOI

Computer-aided detection in chest radiography based on artificial intelligence: a survey.

Biomedical engineering online Aug 22, 2018
As the most common examination tool in medical practice, chest radiography has important clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease based on chest radiography has become one of the hot topics in medical...
Surveys and Questionnaires Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Artificial Intelligence Diagnosis, Computer-Assisted
View on PubMed DOI

Small airway segmentation in thoracic computed tomography scans: a machine learning approach.

Physics in medicine and biology Aug 6, 2018
Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propose a novel method based on machine learning to extract the airway system from a thoracic computed tomography (CT) scan. The emphasis of the proposed me...
Machine Learning Radiographic Image Enhancement Humans Tomography, X-Ray Computed Radiography, Thoracic Respiratory System
View on PubMed DOI
Popular Topics
Recent Journals