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
Assessment of Airway, Skin Color, and Use of Accessory Muscles01:30

Assessment of Airway, Skin Color, and Use of Accessory Muscles

1.8K
A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Resource-optimized cnns for real-time rice disease detection with ARM cortex-M microprocessors.

Plant methods·2024
Same author

Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray.

Advances in computational intelligence·2022
Same author

Dynamic sampling of images from various categories for classification based incremental deep learning in fog computing.

PeerJ. Computer science·2021
Same author

Efficacy and safety of Jessner's solution peel in comparison with salicylic acid 30% peel in the management of patients with acne vulgaris and postacne hyperpigmentation with skin of color: a randomized, double-blinded, split-face, controlled trial.

International journal of dermatology·2020
Same author

Enhancement of physicochemical properties of nanocolloidal carrier loaded with cyclosporine for topical treatment of psoriasis: in vitro diffusion and in vivo hydrating action.

International journal of nanomedicine·2017
Same author

Nodular hidradenoma arising on the site of a BCG scar.

The Australasian journal of dermatology·2016

Related Experiment Video

Updated: Apr 21, 2026

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
06:41

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

8.6K

Objective assessment of vitiligo with a computerised digital imaging analysis system.

Norashikin Shamsudin1, Suraiya H Hussein2, Hermawan Nugroho3

  • 1Dermatology Unit, Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Kuala Lumpur, Perak, Malaysia.

The Australasian Journal of Dermatology
|November 5, 2014
PubMed
Summary

A computerised digital imaging analysis system (C-DIAS) offers an objective method for assessing vitiligo treatment response. This digital tool showed poor agreement with physician assessments, highlighting its potential for more consistent evaluations.

Keywords:
assessment methodcomputeriseddigital imaging analysisobjectivevitiligo

More Related Videos

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
06:34

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

Published on: August 8, 2025

661
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.6K

Related Experiment Videos

Last Updated: Apr 21, 2026

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
06:41

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

8.6K
SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments
06:34

SCAnED - An Open-source Skin Segmentation Macro for Semi-automated Cell and Nuclei Detection in Epidermal and Dermal Skin Compartments

Published on: August 8, 2025

661
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.6K

Area of Science:

  • Dermatology
  • Medical Imaging
  • Clinical Trials

Background:

  • Quantifying treatment response in vitiligo objectively remains a challenge.
  • Physician's global assessment (PGA) is subjective and may lack consistency.
  • There is a need for reliable tools to measure repigmentation in vitiligo.

Purpose of the Study:

  • To objectively evaluate vitiligo treatment response using a computerised digital imaging analysis system (C-DIAS).
  • To compare the efficacy of C-DIAS with the physician's global assessment (PGA).

Main Methods:

  • 56 patients with vitiligo applied tacrolimus ointment 0.1% twice daily.
  • Lesions were photographed every 6 weeks for 24 weeks.
  • Repigmentation was assessed using C-DIAS (MPR-C-DIAS) and PGA, with response categorized into none, mild, moderate, good, and excellent.

Main Results:

  • 44 out of 56 patients (79%) showed a response by C-DIAS.
  • Physician's global assessment indicated 70% of patients responded.
  • A poor agreement (κ=0.17, P=0.053) was observed between C-DIAS and PGA, indicating significant differences in assessment.

Conclusions:

  • The computerised digital imaging analysis system (C-DIAS) provides an objective method for analyzing vitiligo skin lesions.
  • C-DIAS demonstrates potential for consistent and objective quantification of treatment response in vitiligo.
  • Further studies are needed to validate C-DIAS against other objective measures and refine its application in clinical practice.