AIMC Topic: Bronchi
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Artificial Intelligence-based CT Assessment of Bronchiectasis: The COPDGene Study.
Radiology
Dec 13, 2022
Background CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent...
Two different methods of bronchial dissection and coverage in robotic bilobectomy for advanced lung cancer.
Asian journal of endoscopic surgery
Jul 3, 2022
INTRODUCTION: Due to its many technical advantages, the scope of robot-assisted thoracic surgery (RATS) is expanding to include extended pulmonary resection. Among such procedures, right bilobectomy is one with a high risk of inducing development of ...
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 ...
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...
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...
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 ...
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...
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.
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 ...
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