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Related Concept Videos

Skin Cancer01:30

Skin Cancer

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...
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Stratified epithelium consists of several stacked layers of cells. They provide the durability to withstand constant physical and chemical attacks. Stratified epithelium is named after the shape of the most apical layer of cells. Stratified squamous epithelium is the most common type found in the human body. In this tissue, the apical cells are squamous, whereas the basal layer contains either columnar or cuboidal cells. The basal cells divide to form new daughter cells, which gradually become...

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Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2012
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Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2004
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Skin pattern analysis for lesion classification using local isotropy.

Zhishun She1, Peter S Excell

  • 1Institute of Arts, Science & Technology, Glyndwr University, University of Wales, Wrexham, UK. z.she@glyndwr.ac.uk

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [And] International Society for Digital Imaging of Skin (ISDIS) [And] International Society for Skin Imaging (ISSI)
|January 7, 2011
PubMed
Summary
This summary is machine-generated.

New local isotropy metrics can improve skin lesion classification. Analyzing skin pattern disruption in white light optical clinical (WLC) images with these metrics, alongside line direction and ABCD features, significantly enhances the distinction between malignant melanoma and benign lesions.

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Area of Science:

  • Dermatology
  • Medical Imaging Analysis
  • Computational Pathology

Background:

  • Skin pattern disruption in clinical images is a potential indicator of malignant skin lesions.
  • Previous methods utilized skin pattern flow fields for analysis, showing promise.
  • Local isotropy metrics offer a novel approach to quantify skin pattern disruption.

Purpose of the Study:

  • To investigate the extraction of new features using local isotropy metrics.
  • To quantify skin pattern disruption for improved diagnostic capabilities.
  • To assess the potential of local isotropy in distinguishing benign from malignant skin lesions.

Main Methods:

  • Skin patterns were extracted from white light optical clinical (WLC) images via high-pass filtering.
  • Local tensor matrices were computed, and local isotropy was measured using the condition number.
  • A lesion classifier was developed using the isotropy measure difference, local line direction, and ABCD features.

Main Results:

  • A local isotropy metric alone achieved an area under the ROC curve of 0.70.
  • Combining isotropy with local line direction improved classification performance (Area under ROC: 0.89).
  • Integrating isotropy, line direction, and ABCD features demonstrated excellent separation (Area under ROC: 0.96).

Conclusions:

  • Local isotropy metrics show significant potential to enhance lesion classifier accuracy.
  • The combined approach, incorporating local isotropy, line direction, and ABCD features, is highly promising.
  • This method offers a robust tool for differentiating malignant melanoma from benign lesions.