AIMC Topic: Lung

Clear Filters Showing 891 to 900 of 984 articles

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study.

Archivos de bronconeumologia Nov 1, 2021
INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patients. We studied the prognostic value of the assay for predicting non-cytomegalovirus (CMV) infection...
Lung Transplantation Humans Immunocompromised Host Transplant Recipients Lung Adenosine Triphosphate
View on PubMed DOI

Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Lung nodules are commonly missed in chest radiographs. We propose and evaluate P-AnoGAN, an unsupervised anomaly detection approach for lung nodules in radiographs. P-AnoGAN modifies the fast anomaly detection generative adversarial network (f-AnoGAN...
Humans Neural Networks, Computer Lung Lung Neoplasms Radiography
View on PubMed DOI

Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Pulmonary cancer is one of the most commonly diagnosed and fatal cancers and is often diagnosed by incidental findings on computed tomography. Automated pulmonary nodule detection is an essential part of computer-aided diagnosis, which is still facin...
Tomography, X-Ray Computed Lung Humans Lung Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Multi-scale architectures at a granular level are characterised by separating input features into groups and applying multi-scale feature extractions to the split input features, and thus the correlations among the input features as global informatio...
Lung Neoplasms Humans Dilatation Thorax Neural Networks, Computer Lung
View on PubMed DOI

Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Detection of lung contour on chest X-ray images (CXRs) is a necessary step for computer-aid medical imaging analysis. Because of the low-intensity contrast around lung boundary and large inter-subject variance, it is challenging to detect lung from s...
Radiography Thorax Neural Networks, Computer X-Rays Lung
View on PubMed DOI

Detection and characterization of COVID-19 findings in chest CT: Feasibility and applicability of an AI-based software tool.

Medicine Oct 15, 2021
The COVID-19 pandemic has challenged institutions' diagnostic processes worldwide. The aim of this study was to assess the feasibility of an artificial intelligence (AI)-based software tool that automatically evaluates chest computed tomography for f...
Middle Aged Lung COVID-19 Nucleic Acid Testing Feasibility Studies Aged, 80 and over Male SARS-CoV-2 Aged Pandemics Humans Tomography, X-Ray Computed COVID-19 Artificial Intelligence Retrospective Studies Female
View on PubMed DOI

Accurate segmentation for different types of lung nodules on CT images using improved U-Net convolutional network.

Medicine Oct 8, 2021
Since lung nodules on computed tomography images can have different shapes, contours, textures or locations and may be attached to neighboring blood vessels or pleural surfaces, accurate segmentation is still challenging. In this study, we propose an...
Tomography, X-Ray Computed Lung Neural Networks, Computer Algorithms Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Humans
View on PubMed DOI

Robotic Bronchoscopy for Diagnosing Peripheral Lung Lesions: Are We There Yet?

Chest Sep 1, 2021
Lung Lung Neoplasms Humans Robotic Surgical Procedures Bronchoscopy Robotics
View on PubMed DOI

Auto informing COVID-19 detection result from x-ray/CT images based on deep learning.

The Review of scientific instruments Aug 1, 2021
It is no secret to all that the corona pandemic has caused a decline in all aspects of the world. Therefore, offering an accurate automatic diagnostic system is very important. This paper proposed an accurate COVID-19 system by testing various deep l...
Deep Learning Models, Theoretical SARS-CoV-2 Lung COVID-19 Humans Tomography, X-Ray Computed
View on PubMed DOI

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.

Investigative radiology Aug 1, 2021
OBJECTIVES: The aim of this study was to leverage volumetric quantification of airspace disease (AD) derived from a superior modality (computed tomography [CT]) serving as ground truth, projected onto digitally reconstructed radiographs (DRRs) to (1)...
Radiologists Radiography, Thoracic Cohort Studies Image Processing, Computer-Assisted Lung Deep Learning Retrospective Studies Humans Tomography, X-Ray Computed COVID-19 Male
View on PubMed DOI
Popular Topics
Recent Journals