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Related Concept Videos

Skin Cancer01:30

Skin Cancer

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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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Related Experiment Video

Updated: Jul 19, 2025

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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Skin Lesion Correspondence Localization in Total Body Photography.

Wei-Lun Huang, Davood Tashayyod, Jun Kang

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    |August 14, 2023
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    Summary
    This summary is machine-generated.

    This study introduces a new method for tracking skin lesions over time using full-body imaging. The approach accurately matches lesion locations between scans, aiding in early melanoma detection.

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    Area of Science:

    • Medical Imaging
    • Dermatology
    • Computer Vision

    Background:

    • Longitudinal tracking of skin lesions is crucial for early melanoma detection.
    • Current methods lack robust investigation in the context of full-body imaging.
    • Accurate lesion correspondence is essential for monitoring morphological and textural changes.

    Approach:

    • A novel framework combining geometric and texture information for skin lesion correspondence in total body photography (TBP).
    • Utilizes 3D textured meshes with body landmarks to create feature vectors based on geodesic distances.
    • Coarse estimation via geometric features followed by texture-based refinement for precise localization.

    Key Points:

    • The framework successfully localizes skin lesion correspondence between source and target scans.
    • Quantitative evaluation on public and private datasets demonstrates comparable success rates to existing methods (at 10 mm criterion).
    • The method is designed to leverage the increasing prevalence and quality of full-body 3D capture.

    Conclusions:

    • The proposed method offers a valuable advancement for the longitudinal tracking of skin lesions.
    • Enhances the potential for early detection and monitoring of melanoma through improved imaging analysis.
    • This framework is poised to become a significant tool as full-body 3D imaging technology advances.