AIMC Topic: Bronchi

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Deep learning for anatomical interpretation of video bronchoscopy images.

Scientific reports Dec 9, 2021
Anesthesiologists commonly use video bronchoscopy to facilitate intubation or confirm the location of the endotracheal tube; however, depth and orientation in the bronchial tree can often be confused because anesthesiologists cannot trace the airway ...
Humans Artificial Intelligence Bronchoscopy Image Interpretation, Computer-Assisted Anesthesiology Bronchi Reproducibility of Results Deep Learning Image Processing, Computer-Assisted
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Management of Significant Airway Bleeding during Robotic Assisted Bronchoscopy: A Tailored Approach.

Respiration; international review of thoracic diseases Mar 26, 2021
Robotic assisted bronchoscopy represents a major turning point in bronchoscopic history. The management strategies to address significant airway bleeding in this "robotic era" are not well documented, and further guidance is required. We present a ca...
Hemoptysis Surgery, Computer-Assisted Bronchi Hemostatic Techniques Humans Tomography, X-Ray Computed Bronchoscopy Female Robotics Aged
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Automatic detection of COVID-19 from chest radiographs using deep learning.

Radiography (London, England : 1995) Nov 11, 2020
INTRODUCTION: The breakdown of a deadly infectious disease caused by a newly discovered coronavirus (named SARS n-CoV2) back in December 2019 has shown no respite to slow or stop in general. This contagious disease has spread across different lengths...
Humans Bronchi Deep Learning Coronavirus Infections Radiography, Thoracic Pandemics SARS-CoV-2 Lung
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Automated labeling of the airway tree in terms of lobes based on deep learning of bifurcation point detection.

Medical & biological engineering & computing Jul 2, 2020
This paper presents an automatic lobe-based labeling of airway tree method, which can detect the bifurcation points for reconstructing and labeling the airway tree from a computed tomography image. A deep learning-based network structure is designed ...
Tomography, X-Ray Computed Lung Deep Learning Humans Algorithms Computer Simulation Trachea Models, Anatomic Bronchi Imaging, Three-Dimensional Computational Biology Radiographic Image Interpretation, Computer-Assisted
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DeepBranch: Deep Neural Networks for Branch Point Detection in Biomedical Images.

IEEE transactions on medical imaging Oct 7, 2019
Morphology reconstruction of tree-like structures in volumetric images, such as neurons, retinal blood vessels, and bronchi, is of fundamental interest for biomedical research. 3D branch points play an important role in many reconstruction applicatio...
Algorithms Animals Image Processing, Computer-Assisted Bronchi Retinal Vessels Diagnostic Imaging Neurons Humans Neural Networks, Computer
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[Not Available].

Zentralblatt fur Chirurgie Jun 22, 2018
Bronchi Carcinoma, Non-Small-Cell Lung Robotics Robotic Surgical Procedures Humans Lung Neoplasms
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Peripheral bronchial identification on chest CT using unsupervised machine learning.

International journal of computer assisted radiology and surgery Jun 13, 2018
PURPOSE: To automatically identify small- to medium-diameter bronchial segments distributed throughout the lungs.
Cross-Sectional Studies Imaging, Three-Dimensional Unsupervised Machine Learning Humans Algorithms Radiography, Thoracic Tomography, X-Ray Computed Bronchi
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Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence.

Archives of toxicology Apr 28, 2018
Human lungs are susceptible to the toxicity induced by soluble xenobiotics. However, the direct cellular effects of many pulmonotoxic chemicals are not always clear, and thus, a general in vitro assay for testing pulmonotoxicity applicable to a wide ...
Xenobiotics Artificial Intelligence Sensitivity and Specificity Lung A549 Cells Toxicity Tests Humans Cell Line Bronchi Cell Survival High-Throughput Screening Assays Predictive Value of Tests
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Evaluation of a CT-Guided Robotic System for Precise Percutaneous Needle Insertion.

Journal of vascular and interventional radiology : JVIR Apr 6, 2018
PURPOSE: To assess overall targeting accuracy for CT-guided needle insertion using prototype robotic system for common target sites.
Robotics Equipment Design Animals Materials Testing Needles Kidney Image-Guided Biopsy Radiography, Interventional Liver Tomography, X-Ray Computed Models, Animal Sus scrofa Female Retroperitoneal Space Bronchi
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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

International journal of computer assisted radiology and surgery Oct 28, 2016
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3...
Thorax Bronchi Imaging, Three-Dimensional Image Processing, Computer-Assisted Tomography, X-Ray Computed Support Vector Machine Lung Diseases Bronchoscopy Humans Lung Organ Size Automation Machine Learning Diagnosis, Computer-Assisted Algorithms
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