22 May 2014 A mobile system for skin cancer diagnosis and monitoring
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Abstract
In this paper, we propose a mobile system for aiding doctors in skin cancer diagnosis and other persons in skin cancer monitoring. The basic idea is to use image retrieval techniques to help the users to find the similar skin cancer cases stored in a database by using smart phones. The query image can be taken by a smart phone from a patient or can be uploaded from other resources. The shapes of the skin lesions are used for matching two skin lesions, which are segmented from skin images using the skin lesion extraction method developed in 1. The features used in the proposed system are obtained by Fourier descriptor. A prototype application has been developed and can be installed in an iPhone. In this application, the iPhone users can use the iPhone as a diagnosis tool to find the potential skin lesions in a persons’ skin and compare the skin lesions detected by the iPhone with the skin lesions stored in a database in a remote server.
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Yanliang Gu and Jinshan Tang "A mobile system for skin cancer diagnosis and monitoring", Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 912009 (22 May 2014); doi: 10.1117/12.2046112; https://doi.org/10.1117/12.2046112
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