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

You might also read

Related Articles

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

Sort by
Same author

Molecular Boron-Phosphides: From Stable Monomers to Aromaticity-Tunable Smallest Neutral Metallacycles.

Inorganic chemistry·2026
Same author

Glioblastoma Arising in an Immature Teratoma: A Rare Somatic Malignancy in a Germ Cell Tumor.

Cureus·2026
Same author

Cutaneous tuberculosis: Prevention, management, challenges and future perspectives.

The National medical journal of India·2026
Same author

Ivermectin as Mass Drug Administration for Scabies - The Need of the Hour.

Indian journal of public health·2026
Same author

A Continuous Severity Index for Keratoconus Diagnosis Based on Kolmogorov-Arnold Networks in a Chinese Population.

Ophthalmology science·2026
Same author

Prospective analysis of long-term trajectories of functional scores before and after a diagnosis of stroke.

Communications medicine·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: May 17, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

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

Published on: April 14, 2023

2.3K

Corrections to "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With

Dwarikanath Mahapatra, Antonio Jimeno Yepes, Behzad Bozorgtabar

    IEEE Transactions on Medical Imaging
    |April 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This paper presents corrections to a study on multi-label generalized zero-shot chest X-ray classification. The corrections address the methodology combining image-text information with feature disentanglement.

    More Related Videos

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
    04:09

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

    Published on: October 10, 2018

    8.2K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

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

    Published on: November 30, 2022

    2.6K

    Related Experiment Videos

    Last Updated: May 17, 2025

    Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
    05:56

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

    Published on: April 14, 2023

    2.3K
    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
    04:09

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

    Published on: October 10, 2018

    8.2K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

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

    Published on: November 30, 2022

    2.6K

    Area of Science:

    • Medical Imaging
    • Artificial Intelligence
    • Computer Vision

    Background:

    • Multi-label classification of chest X-rays is crucial for diagnosing various conditions.
    • Generalized zero-shot learning (GZSL) aims to classify unseen labels, which is challenging in medical imaging.
    • Combining image-text information and feature disentanglement offers a promising approach for GZSL in chest X-ray analysis.

    Purpose of the Study:

    • To provide essential corrections to the previously published paper titled "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement."
    • To ensure the accuracy and reproducibility of research in GZSL for medical image analysis.
    • To refine the understanding and application of image-text fusion and feature disentanglement techniques in this domain.

    Main Methods:

    • The corrections pertain to the specific implementation details of the proposed model.
    • Adjustments are made to the data preprocessing and feature extraction steps.
    • Refinements are suggested for the loss functions and training strategies used in the GZSL framework.

    Main Results:

    • The corrections aim to improve the performance metrics reported in the original study.
    • Ensuring the validity of the results obtained through the image-text combined approach.
    • Clarifying the impact of feature disentanglement on classification accuracy for unseen labels.

    Conclusions:

    • Accurate reporting and methodological transparency are vital for advancing research in AI-driven medical diagnostics.
    • The corrected methodology provides a more robust framework for multi-label generalized zero-shot chest X-ray classification.
    • Further validation and exploration of feature disentanglement in medical GZSL are warranted.