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Skin lesions image analysis utilizing smartphones and cloud platforms.
Charalampos Doukas1, Paris Stagkopoulos, Ilias Maglogiannis
1Department of Digital Systems, University of Piraeus, Grigoriou Lampraki 126, 18532, Piraeus, Greece.
Methods in Molecular Biology (Clifton, N.J.)
|January 29, 2015
Summary
This study explores mobile teledermatology using smartphones for skin lesion analysis. It covers applications for self-assessment and expert consultation, classifying lesions by severity.
Area of Science:
- Dermatology and Mobile Health (mHealth)
Background:
- Mobile teledermatology leverages smartphones for capturing and analyzing skin lesion images.
- These systems facilitate self-assessment or remote consultation with dermatologists.
Purpose of the Study:
- To present the state-of-the-art in mobile teledermatology applications.
- To describe a novel system for on-device and cloud-based skin lesion evaluation.
Main Methods:
- Utilizing smartphone applications for image acquisition and mole identification.
- Employing cloud infrastructure for enhanced computational and storage capabilities.
- Developing a hybrid system for flexible skin lesion assessment.
Main Results:
- Overview of existing mobile applications for skin lesion assessment.
- Demonstration of a system capable of evaluating skin lesions on-device or via the cloud.
- Classification of moles based on severity.
Conclusions:
- Mobile teledermatology offers accessible tools for skin lesion monitoring.
- The proposed system provides a versatile solution for remote dermatological evaluation.
- Network availability influences the choice between on-device and cloud-based analysis.
