AIMC Topic: Pneumothorax

Clear Filters Showing 41 to 50 of 62 articles

Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation.

Radiology Jan 25, 2022
Background Accurate detection of pneumothorax on chest radiographs, the most common complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in practice. A computer-aided detection (CAD) system may help detect pneumothor...
Female Aged Male Humans Retrospective Studies Radiography, Thoracic Biopsy, Needle Pneumothorax Deep Learning Lung Neoplasms
View on PubMed DOI

Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.

Medical physics Dec 7, 2021
PURPOSE: Pneumothorax is a life-threatening emergency that requires immediate treatment. Frontal-view chest X-ray images are typically used for pneumothorax detection in clinical practice. However, manual review of radiographs is time-consuming, labo...
Retrospective Studies Deep Learning X-Rays Pneumothorax Thorax Humans
View on PubMed DOI

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

BMJ open Dec 7, 2021
OBJECTIVES: To evaluate the ability of a commercially available comprehensive chest radiography deep convolutional neural network (DCNN) to detect simple and tension pneumothorax, as stratified by the following subgroups: the presence of an intercost...
Retrospective Studies Case-Control Studies Deep Learning Humans Algorithms Pneumothorax Radiography Radiography, Thoracic
View on PubMed DOI

Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels.

Academic radiology Oct 12, 2021
RATIONALE AND OBJECTIVES: To compare the performance of pneumothorax deep learning detection models trained with radiologist versus natural language processing (NLP) labels on the NIH ChestX-ray14 dataset.
Radiologists Radiography, Thoracic Pneumothorax Deep Learning Natural Language Processing Humans Retrospective Studies
View on PubMed DOI

Detection of the location of pneumothorax in chest X-rays using small artificial neural networks and a simple training process.

Scientific reports Jun 22, 2021
The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connected small artificial neural networks (ANNs) and a simple training process, the Kim-Monte Carlo algorithm, to detect the location of pneumothorax in che...
Thorax X-Rays Pneumothorax Neural Networks, Computer Image Processing, Computer-Assisted Humans
View on PubMed DOI

Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Pneumothorax is a common pulmonary disease that can lead to dyspnea and can be life-threatening. X-ray examination is the main means to diagnose this disease. Computer-aided diagnosis of pneumothorax on chest X-ray, as a prerequisite for a timely cur...
Pneumothorax Algorithms Lung Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Humans Deep Learning
View on PubMed DOI

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists.

IEEE journal of biomedical and health informatics May 11, 2021
Pneumothorax is potentially a life-threatening disease that requires urgent diagnosis and treatment. The chest X-ray is the diagnostic modality of choice when pneumothorax is suspected. The computer-aided diagnosis of pneumothorax has received a dram...
Neural Networks, Computer Diagnosis, Computer-Assisted Humans Radiologists Pneumothorax Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.

European radiology Mar 27, 2021
OBJECTIVES: Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXR) is limited by the noisy annotation quality of public training data and confounding thoracic tubes (TT). We hypothesize that in-ima...
Radiography Data Curation Humans Radiography, Thoracic Artificial Intelligence Pneumothorax Algorithms
View on PubMed DOI

CheXLocNet: Automatic localization of pneumothorax in chest radiographs using deep convolutional neural networks.

PloS one Nov 9, 2020
BACKGROUND: Pneumothorax can lead to a life-threatening emergency. The experienced radiologists can offer precise diagnosis according to the chest radiographs. The localization of the pneumothorax lesions will help to quickly diagnose, which will be ...
Image Processing, Computer-Assisted Diagnosis, Computer-Assisted Humans Radiography Pneumothorax Deep Learning Neural Networks, Computer
View on PubMed DOI

Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax.

Emergency radiology Jul 8, 2020
PURPOSE: To (1) develop a deep learning system (DLS) using a deep convolutional neural network (DCNN) for identification of pneumothorax, (2) compare its performance to first-year radiology residents, and (3) evaluate the ability of a DLS to augment ...
Humans Emergency Medicine Pneumothorax Clinical Competence Radiography, Thoracic Emergency Service, Hospital Neural Networks, Computer Retrospective Studies Radiology Internship and Residency Diagnostic Errors
View on PubMed DOI
Popular Topics
Recent Journals