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Mobile application-based computer-aided diagnosis of skin tumours from dermal images.
Skin tumour is deﬁned as the enormous growth of cells in the skin. The aim is to design standalone application for diagnosis of skin tumours. The dermal images of three diﬀerent types obtained from the authorized PH2 database are used to analyse the deﬁned image processing algorithm. In this algorithm, pre-processing was performed to remove hair cells. Contour-based level set is used to segment lesion from which clinical and morphological features are extracted for classiﬁcation. Signiﬁcant features are obtained with the feature selection technique, Random subset. Classiﬁcation is performed with three classiﬁers. The eﬃciency of the classiﬁer obtained with diﬀerent trials of classiﬁcation is analysed with the ANOVA test. With these results, the Multiclass Support vector machine was conﬁgured as a suitable classiﬁer to categorize dermal images. Therefore, an application is developed for the analysis of images acquired through mobile with the help of a magniﬁcation set-up. Thus, extracted features, segmented and original images are transferred to a database for storage. For supporting codes and data see: GitHub1 GitHub2 GitHub3 GitHub4