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

Skin Cancer01:30

Skin Cancer

5.2K
Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
5.2K

You might also read

Related Articles

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

Sort by
Same author

Highly sensitive and species-specific molecular detection of microbial pathogens.

Journal of microbiological methods·2026
Same author

High-to-Low Spectral Mapping for Cross-System Feature Adaptation in Medical Hyperspectral Imaging.

Bioengineering (Basel, Switzerland)·2026
Same author

Real-World Effectiveness and Safety of Tildrakizumab in a Large Spanish Multicenter Cohort from Spanish Psoriasis Group (GPS).

Pharmacy (Basel, Switzerland)·2026
Same author

Sustainability in Food-Based Dietary Guidelines: Digital Readiness in Nordic Versus Mediterranean Countries.

Studies in health technology and informatics·2026
Same author

Design and Characterization of a Hyperspectral Colposcope Based on Dual-LCTF VNIR Narrow-Band Illumination.

Sensors (Basel, Switzerland)·2026
Same author

Histological Hyperspectral Breast Cancer Recurrence Database (HistologyHSI-BC Recurrence).

Scientific data·2025

Related Experiment Video

Updated: Nov 19, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.4K

Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing.

Stig Uteng1, Eduardo Quevedo2, Gustavo M Callico2

  • 1Department of Education and Pedagogy, UiT the Arctic University of Norway, 9019 Tromsø, Norway.

Sensors (Basel, Switzerland)
|January 27, 2021
PubMed
Summary

This study introduces a hyperspectral imaging system for skin cancer detection. The method effectively classifies melanoma and other pigmented skin lesions (PSLs) as malignant or benign.

Keywords:
benigncurve fithyperspectralmalignantmelanomastatistical discrimination

More Related Videos

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

793
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.6K

Related Experiment Videos

Last Updated: Nov 19, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.4K
A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

793
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.6K

Area of Science:

  • Dermatology
  • Medical Imaging
  • Spectroscopy

Background:

  • Early detection of skin cancer, particularly melanoma, is crucial for patient outcomes.
  • Pigmented skin lesions (PSLs) require accurate classification into malignant and benign categories.
  • Hyperspectral imaging (HSI) offers potential for non-invasive diagnostic tools.

Purpose of the Study:

  • To develop and validate a novel classification method for pigmented skin lesions using hyperspectral imaging.
  • To differentiate melanoma from other PSLs and classify PSLs as malignant or benign.
  • To leverage the spectral variability within HSI data for improved diagnostic accuracy.

Main Methods:

  • A customized hyperspectral system capturing images in the 450–950 nm range was employed.
  • Analysis involved extracting 7 × 7 sub-images from each HSI channel, calculating mean and standard deviation.
  • Curve fitting of the resulting data was performed to identify classification characteristics.

Main Results:

  • Distinct curve fitting characteristics were identified for melanoma, the most aggressive PSL.
  • The system successfully classified other PSLs into malignant and benign groups.
  • The method demonstrated a novel approach to PSL classification by analyzing HSI channel variability.

Conclusions:

  • The developed hyperspectral imaging approach provides a comprehensive classification method for PSLs.
  • Exploiting channel variability in HSI offers a new perspective for skin cancer detection.
  • This technique shows promise for improving the non-invasive diagnosis of skin cancer.