An iPhone Application for Skin Cancer Monitoring
Editor(s): Sos S. Agaian; Jinshan Tang; Jindong Tan
Author(s): Yanliang Gu, Jinshan Tang
Published: 2016
Abstract
In this chapter, a mobile system is proposed to aid doctors and general users in monitoring skin cancer. In this system, image retrieval techniques are used to help users find similar skin cancer cases in a database. The main idea of the system is to use shape features of a query image taken by a smartphone or uploaded from other resources to perform content-based image retrieval. In the system, the shape features of an image are first extracted by the skin lesion extraction method proposed in Ref. 1, then the features are used to match the skin lesions in the database. The features in the proposed system are obtained by Fourier descriptor. We developed an iPhone application with which users can compare the skin lesions detected by an iPhone to the skin lesion cases stored in a database and potentially detect malignant skin lesions early on in their development.
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KEYWORDS
Skin

Skin cancer

Databases

Feature extraction

Image retrieval

Content based image retrieval

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