The Application of Mobile Devices for the Recognition of Malignant Melanoma

Dmitriy Dubovitskiy, Vladimir Devyatkov, Glenn Richer

Abstract

Robotic systems and autonomous decision making systems are increasingly becoming a significant part of our everyday routines. Object recognition is an area of computer science in which automated algorithms work behind a graphical user interface or similar vehicle for interaction with users or some other feature of the external world. From a user perspective this interaction with the underlying algorithm may not be immediately apparent. This paper presents an outline of a particular form of image interpretation via mobile devices as a method of skin cancer screening. The use of mobile hardware resources is intrinsically interconnected with the decision making engine built into the processing system. The challenging fundamental problem of computational geometry is in offering a software - hardware solution for image recognition in a complex environment where not all aspects of that environment can fully be captured for use within the algorithm. The unique combination of hardware - software interaction described in this paper brings image processing within such an environment to the point where accurate and stable operation is possible, offering a higher level of flexibility and automation. The Fuzzy logic classification method makes use of a set of features which include fractal parameters derived from generally understood Fractal Theory. The automated learning system is helping to develop the system into one capable of near-autonomous operation. The methods discussed potentially have a wide range of applications in ‘machine vision’. However, in this publication, we focus on the development and implementation of a skin cancer screening system that can be used by nonexperts so that in cases where cancer is suspected a patient can immediately be referred to an appropriate specialist.

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Paper Citation


in Harvard Style

Dubovitskiy D., Devyatkov V. and Richer G. (2014). The Application of Mobile Devices for the Recognition of Malignant Melanoma . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014) ISBN 978-989-758-013-0, pages 140-146. DOI: 10.5220/0004803701400146


in Bibtex Style

@conference{biodevices14,
author={Dmitriy Dubovitskiy and Vladimir Devyatkov and Glenn Richer},
title={The Application of Mobile Devices for the Recognition of Malignant Melanoma},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)},
year={2014},
pages={140-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004803701400146},
isbn={978-989-758-013-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)
TI - The Application of Mobile Devices for the Recognition of Malignant Melanoma
SN - 978-989-758-013-0
AU - Dubovitskiy D.
AU - Devyatkov V.
AU - Richer G.
PY - 2014
SP - 140
EP - 146
DO - 10.5220/0004803701400146