Dielectric Temporal Dynamics and Challenges Towards Accurate Skin Lesion Detection

This paper presents the current challenges of expanding our handheld skin cancer detection system towards large-scale application on different skin regions across the human body. The analysis is based on temporal dielectric trend assessment of common moles and adjacent skin regions. The study indicates that developing a robust skin cancer detection system requires consideration of additional factors, such as hair strand interference compensation and dermal hydration levels in parallel with dielectric data acquisition. These biomechanical descriptor variations, including trans-epidermal water loss, contribute to fluctuations in the dielectric properties of the same skin region measured at different times.

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Publication Details

Published
2025-02-10
DOI
https://doi.org/10.1109/ams63679.2025.10937820
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
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article

Dielectric Temporal Dynamics and Challenges Towards Accurate Skin Lesion Detection

Amin Abbosh, Syed Akbar Raza Naqvi
Cutaneous Melanoma Detection and Management
article

Dielectric Temporal Dynamics and Challenges Towards Accurate Skin Lesion Detection

Amin Abbosh, Syed Akbar Raza Naqvi
article en

Abstract

This paper presents the current challenges of expanding our handheld skin cancer detection system towards large-scale application on different skin regions across the human body. The analysis is based on temporal dielectric trend assessment of common moles and adjacent skin regions. The study indicates that developing a robust skin cancer detection system requires consideration of additional factors, such as hair strand interference compensation and dermal hydration levels in parallel with dielectric data acquisition. These biomechanical descriptor variations, including trans-epidermal water loss, contribute to fluctuations in the dielectric properties of the same skin region measured at different times.

The University of Queensland (AU)
Openalex Percentile: Top 91%
Cutaneous Melanoma Detection and Management
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