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 journal

RETRACTION: An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Image Risk Assessment of the Thyroid Cancer Model Based on Discriminant Analysis and the Value of TAP and CEA Combined Detection.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Meta-Analysis of the Prognostic Value of Narcotrend Monitoring of Different Depths of Anesthesia and Different Bispectral Index (BIS) Values for Cognitive Dysfunction after Tumor Surgery in Elderly Patients.

Journal of healthcare engineering·2026
Same journal

Correction to "Representation of Differential Learning Method for Mitosis Detection".

Journal of healthcare engineering·2026

Related Experiment Video

Updated: Oct 6, 2025

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
11:27

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Published on: September 22, 2013

9.5K

Multispectral Image under Tissue Classification Algorithm in Screening of Cervical Cancer.

Pei Wang1, Shuwei Wang2, Yuan Zhang1

  • 1Department of Gynaecology, Hebei Provincial People's Hospital, Shijiazhuang 050051, Hebei, China.

Journal of Healthcare Engineering
|January 17, 2022
PubMed
Summary

This study combined multispectral imaging and a tissue classification algorithm to improve early cervical cancer screening. The method effectively segmented diseased areas, showing high clinical value for accurate diagnosis.

More Related Videos

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

13.0K
Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens
10:49

Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens

Published on: January 21, 2019

20.9K

Related Experiment Videos

Last Updated: Oct 6, 2025

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions
11:27

Quantitative Multispectral Analysis Following Fluorescent Tissue Transplant for Visualization of Cell Origins, Types, and Interactions

Published on: September 22, 2013

9.5K
Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

13.0K
Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens
10:49

Automated Multiplex Immunofluorescence Panel for Immuno-oncology Studies on Formalin-fixed Carcinoma Tissue Specimens

Published on: January 21, 2019

20.9K

Area of Science:

  • Medical Imaging
  • Oncology
  • Biomedical Engineering

Background:

  • Early and accurate diagnosis of cervical cancer is crucial for effective treatment.
  • Current screening methods can be improved for efficiency and accuracy.

Purpose of the Study:

  • To enhance early cervical cancer diagnosis efficiency and accuracy.
  • To explore the application of tissue classification algorithms with multispectral imaging for cervical cancer screening.

Main Methods:

  • Collected multispectral images of cervical tissues from 50 patients across different light wavebands.
  • Fused multispectral images and applied a tissue classification algorithm to segment diseased areas.
  • Evaluated image quality using average gradient, standard deviation, and image entropy; assessed clinical value using sensitivity and specificity.

Main Results:

  • Fused multispectral images showed a significantly higher contrast (0.7549) compared to pre-fusion (0.4716).
  • Multispectral imaging with the tissue classification algorithm achieved higher image quality metrics and diagnostic sensitivity (85.3%) and specificity (70.8%).
  • Segmentation results accurately matched physician diagnoses, demonstrating high clinical applicability.

Conclusions:

  • Multispectral imaging combined with a tissue classification algorithm offers an effective, efficient, and safe method for early cervical cancer screening.
  • This approach provides a valuable reference for clinical applications of advanced imaging technologies in gynecological oncology.
  • The technology enables rapid and accurate segmentation of cervical lesions, improving diagnostic outcomes.