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 III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

140
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...
140

You might also read

Related Articles

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

Sort by
Same author

Bioinspired hybrid optimisation and deep belief neural networks for early chronic kidney disease detection: an explainable clinical AI framework.

Renal failure·2026
Same author

The Significance of Circulating Microbial Signatures in the Prognosis and Immune Microenvironment of Patients with Cervical Cancer.

International journal of molecular sciences·2025
Same author

Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications.

Sensors (Basel, Switzerland)·2025
Same author

A malware classification method based on directed API call relationships.

PloS one·2025
Same author

Underwater Sensor Networks for Communication, Navigation, and Localization.

Sensors (Basel, Switzerland)·2025
Same author

An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques.

Bioengineering (Basel, Switzerland)·2025

Related Experiment Video

Updated: Aug 16, 2025

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

2.0K

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and

Anas Bilal1, Muhammad Shafiq2, Fang Fang3

  • 1College of Information Science and Technology, Hainan Normal University, Haikou 571158, China.

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary

Artificial intelligence aids lung cancer diagnosis by improving nodule identification. This study presents a novel method enhancing accuracy and sensitivity for early lung cancer detection.

Keywords:
classificationcomputed tomography (CT)computer-aided diagnostic system (CAD)deep learninggenetic algorithm (GA)gray wolf optimization (GWO)lung cancermedical image diagnosissegmentationtransfer learning

More Related Videos

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 Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.9K

Related Experiment Videos

Last Updated: Aug 16, 2025

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

2.0K
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 Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.9K

Area of Science:

  • Artificial Intelligence in Medical Imaging
  • Oncology
  • Computer-Aided Diagnosis

Background:

  • Lung cancer diagnosis is challenging due to nodule similarity and image quality issues.
  • Late-stage diagnosis contributes significantly to cancer-related mortality.
  • Current computer-aided diagnostic technologies face limitations with low-quality images.

Purpose of the Study:

  • To propose an effective strategy for identifying and categorizing lung cancer.
  • To enhance the accuracy of lung cancer prediction algorithms.
  • To improve early detection rates for lung cancer.

Main Methods:

  • Image noise reduction using a weighted filter.
  • Enhanced Gray Wolf Optimization for feature extraction.
  • Segmentation using watershed modification and dilation.
  • Classification using InceptionNet-V3.

Main Results:

  • Achieved 98.96% accuracy in classifying lung cancer.
  • Demonstrated 94.74% specificity and 100% sensitivity.
  • Outperformed previous studies in lung cancer detection.

Conclusions:

  • The proposed method effectively identifies and categorizes lung cancer.
  • This approach offers a significant improvement over traditional methods.
  • High accuracy, specificity, and sensitivity suggest clinical utility for early lung cancer detection.