Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Association between patient-reported outcomes and pathological response in neoadjuvant chemoimmunotherapy-a post hoc analysis of the TD-FOREKNOW trial.

Translational lung cancer research·2026

Same author

Organ preservation strategies after neoadjuvant chemoimmunotherapy in resectable non-small cell lung cancer: a multicenter retrospective cohort study.

International journal of surgery (London, England)·2023

Same author

TRIM58 Interacts with ZEB1 to Suppress NSCLC Tumor Malignancy by Promoting ZEB1 Protein Degradation via UPP.

Disease markers·2023

Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025

Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024

Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Sep 28, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Lung Nodule Segmentation and Recognition Algorithm Based on Multiposition U-Net.

Na Zhang¹, Jianping Lin², Bengang Hui¹

¹Department of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, China.

Computational and Mathematical Methods in Medicine

|April 4, 2022

Summary

This summary is machine-generated.

This study introduces an AI algorithm for lung nodule detection, mimicking a doctor's process to improve accuracy and reduce missed diagnoses in CT scans. The method enhances early lung cancer screening.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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

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

Published on: April 21, 2023

Related Experiment Videos

Last Updated: Sep 28, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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

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

Published on: April 21, 2023

Area of Science:

Medical Imaging
Artificial Intelligence
Computer-Aided Diagnosis

Background:

Lung nodules are primary indicators of lung conditions visible in CT scans.
Limited pixel resolution in CT images increases the risk of missed or false lung nodule detections.
High workload for radiologists can lead to diagnostic errors.

Purpose of the Study:

To develop an intelligent algorithm for lung nodule segmentation and recognition.
To simulate the human diagnostic process for improved accuracy and efficiency.
To assist clinicians in accurate lung nodule diagnosis and reduce detection errors.

Main Methods:

An attention mechanism model was employed to focus on relevant lung parenchyma regions.
A bidirectional feature pyramid network was utilized for multi-positional lung nodule extraction.
Morphological and imaging features of lung nodules were calculated for identification.

Main Results:

The algorithm effectively mimics the step-by-step diagnostic approach of clinicians.
The method demonstrated accurate segmentation and recognition of lung nodules.
The system successfully focused on regions of interest for nodule analysis.

Conclusions:

The proposed AI algorithm assists in accurate lung nodule segmentation and recognition.
The approach enhances diagnostic efficiency and reduces the likelihood of missed detections.
This technology supports radiologists in lung nodule diagnosis from CT images.