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 Experiment Videos

Building a reference multimedia database for interstitial lung diseases.

Adrien Depeursinge1, Alejandro Vargas, Alexandra Platon

  • 1University of Applied Sciences Western Switzerland, TechnoArk, Sierre, Switzerland. adrien.depeursinge@hevs.ch

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|August 2, 2011
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
Chronic Obstructive Pulmonary Disease I: Introduction01:23

Chronic Obstructive Pulmonary Disease I: Introduction

Chronic obstructive pulmonary disease is a common, preventable, and treatable respiratory disorder characterized by persistent symptoms and progressive airflow limitation. This limitation results from a combination of small-airway disease (obstructive bronchiolitis) and parenchymal destruction (emphysema), both driven by chronic inflammation from exposure to harmful particles or gases.The disease includes two main pathological entities: emphysema, marked by destruction of alveolar walls and...

You might also read

Related Articles

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

Sort by
Same author

Postsurgical detection of glioma recurrence using MRI radiomics.

Neuro-oncology advances·2026
Same author

A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosis.

NeuroImage. Clinical·2026
Same author

Fully automatic left ventricle segmentation in [Formula: see text]Rb PET/CT Using a semi-supervised nnU-net.

EJNMMI research·2026
Same author

Optimization-enhanced Gaussian mixture modeling for data-driven subphenotyping of septic shock.

Computer methods in biomechanics and biomedical engineering·2026
Same author

Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge.

Medical image analysis·2026
Same author

RoBuster-Corpus Annotated With Risk of Bias Text Spans in Randomized Controlled Trials in Physiotherapy and Rehabilitation: Corpus Development and Annotation Study.

JMIR formative research·2026
Same journal

Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

ScribSAM: A robust scribble-supervised framework for spatiotemporal segmentation of breast lesions in ultrasound videos.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
See all related articles

Researchers created a multimedia database of interstitial lung diseases (ILDs) cases, featuring HRCT scans and clinical data. This valuable resource aims to advance the development of AI-driven diagnostic tools for ILD.

Area of Science:

  • Medical Imaging
  • Pulmonology
  • Data Science

Background:

  • Lack of publicly available, comprehensive datasets for interstitial lung diseases (ILDs).
  • Need for standardized data to develop and validate AI-powered diagnostic aids in ILD.
  • Importance of high-resolution computed tomography (HRCT) in ILD assessment.

Purpose of the Study:

  • To describe the methodology for creating a multimedia ILD case collection.
  • To establish a foundation for developing and evaluating image-based computerized diagnostic aid for ILDs.
  • To address the scarcity of accessible ILD datasets for research.

Main Methods:

  • Collected high-resolution computed tomography (HRCT) image series from patients with pathologically proven ILDs.
  • Annotated 3D regions of pathological lung tissue and gathered 99 clinical parameters.

Related Experiment Videos

  • Compiled data from 128 patients with 13 distinct ILD histological diagnoses over 38 months.

    • Main Results:

    • Developed a multimedia library containing 108 HRCT image series.
    • Included over 41 liters of annotated lung tissue patterns.
    • Compiled comprehensive clinical data for 128 ILD patients.

    Conclusions:

    • A valuable, accessible multimedia database of ILD cases has been established.
    • The dataset supports research in AI-driven diagnostic tools for interstitial lung diseases.
    • The database is available for research upon request and license agreement.