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 Video

Updated: Jan 9, 2026

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

3.3K

Comparative Study on Medical Hyperspectral Images Segmentation Using Advanced Deep Learning Techniques.

Mariam Wael Talaat, Mohamed ElSheikh, Mayar A Shafaey

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    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

    Traumatic hemothorax activates complement, stimulates proinflammatory cytokine release, and primes neutrophils for local inflammatory reactive oxygen species production.

    The journal of trauma and acute care surgery·2026
    Same author

    Assessing the Knowledge, Attitudes, and Practices (KAP) of Sudanese citizens regarding dengue fever prevention and control during the 2025 outbreak in Sudan: a multi-center cross-sectional study.

    BMC public health·2026
    Same author

    Histopathological characteristics of screen-detected colorectal cancers.

    Virchows Archiv : an international journal of pathology·2026
    Same author

    Cutaneous and subcutaneous mass lesions in camels <i>(Camelus dromedarius)</i>: diagnostic features and treatment outcomes.

    Frontiers in veterinary science·2026
    Same author

    Colliding Wars: A Systematic Review on HIV Responses in Conflict-Affected Settings.

    Public health challenges·2026
    Same author

    A Hybrid Multimodal Cancer Diagnostic Framework Integrating Deep Learning of Histopathology and Whispering Gallery Mode Optical Sensors.

    Diagnostics (Basel, Switzerland)·2026
    Same journal

    Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    Same journal

    A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
    See all related articles

    This study compares deep learning models for medical hyperspectral image segmentation. Knowledge distillation models (KDM) excelled in pathology, while dual-stream architectures performed best in oral/dental and brain datasets.

    Area of Science:

    • Medical Imaging
    • Artificial Intelligence
    • Computer Vision

    Background:

    • Accurate medical image segmentation is crucial for diagnosis and treatment.
    • Hyperspectral imaging (HSI) offers rich spectral data for enhanced medical analysis.
    • Current deep learning models struggle with spectral-spatial relationships in HSI.

    Purpose of the Study:

    • To comprehensively evaluate and compare deep learning segmentation models for medical HSI.
    • To identify the most effective models for diverse medical hyperspectral datasets.
    • To address the lack of comparative analysis for advanced HSI segmentation techniques.

    Main Methods:

    • Evaluated three deep learning models: Knowledge Distillation Models (KDM), and Dual-Stream architectures with FPN and DeepLab backbones.

    More Related Videos

    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

    3.2K

    Related Experiment Videos

    Last Updated: Jan 9, 2026

    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

    3.3K
    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

    3.2K
  • Trained and tested models on three distinct medical HSI datasets: oral/dental, pathology, and brain.
  • Assessed performance using Intersection over Union (IoU) and Dice Similarity Coefficient (DSC).

    • Main Results:

    • KDM demonstrated superior performance on the pathology dataset.
    • The Dual-Stream model with an FPN backbone was optimal for oral and dental datasets.
    • The Dual-Stream model with a DeepLab backbone showed the best results for brain datasets.

    Conclusions:

    • Model selection for medical HSI segmentation is dataset-dependent.
    • Findings guide the choice of optimal segmentation models for specific clinical applications.
    • This research advances disease diagnosis and treatment planning through improved HSI analysis.