Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

122
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
122
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

93
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
93

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Airway wall thickness and PRISm are associated with cognitive impairment in individuals with cigarette smoking exposure.

Respiratory research·2026
Same author

Clinical neuropsychological evaluation of patients referred from a post-COVID subspeciality clinic.

The Clinical neuropsychologist·2026
Same author

Preserving Trabecular Bone Structure in Gross Specimens with Paraffin Wax for the Study of Osteoporosis.

Journal of plastination·2026
Same author

Bronchovascular texture pattern on quantitative CT reveals airway and vascular remodeling in post-COVID-19 Lungs.

Respiratory research·2026
Same author

Association of "Emptying Emphysema" with Clinical and Radiographic Features in People with Smoking History.

Annals of the American Thoracic Society·2026
Same author

Association Between Chronic PM2.5 Exposure and CT-Detected Lung Abnormalities in the SPIROMICS Cohort.

Annals of the American Thoracic Society·2026

Related Experiment Video

Updated: Jul 5, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.5K

A Survey on Artificial Intelligence in Pulmonary Imaging.

Punam K Saha1, Syed Ahmed Nadeem2, Alejandro P Comellas3

  • 1Departments of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, IA, 52242.

Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery
|January 22, 2024
PubMed
Summary

Deep learning (DL) revolutionizes pulmonary imaging analysis for lung diseases like COPD and cancer. This survey details DL applications in medical imaging, focusing on segmenting lung anatomy for better diagnosis and research.

Keywords:
Artificial intelligencecomputed tomographydeep learningpulmonary diseasesegmentation

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

505
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

1.9K

Related Experiment Videos

Last Updated: Jul 5, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.5K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

505
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

1.9K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Pulmonary Medicine

Background:

  • Deep learning (DL) has transformed computer vision and AI applications.
  • Pulmonary diseases affect a significant portion of the global population.
  • Medical imaging plays a crucial role in understanding lung diseases and their progression.

Purpose of the Study:

  • To survey the applications of DL in pulmonary imaging.
  • To highlight DL's role in diagnosing and managing lung diseases.
  • To focus on DL-based segmentation of pulmonary and thoracic anatomies.

Main Methods:

  • Review of DL architectures and methods applied to pulmonary imaging.
  • Analysis of DL for image classification, recognition, registration, and segmentation.
  • Emphasis on segmentation of lung volumes, lobes, vessels, airways, and thoracic musculoskeletal structures.

Main Results:

  • DL offers significant opportunities in AI-driven medical imaging for lung diseases.
  • DL techniques are effective for various pulmonary image processing tasks.
  • DL-based segmentation of anatomical structures is a key application area.

Conclusions:

  • DL is a powerful tool for advancing pulmonary research and clinical practice.
  • Accurate segmentation of lung and thoracic anatomy using DL aids disease understanding.
  • This survey provides a comprehensive overview of DL in pulmonary imaging.