Comput Methods Programs Biomed - Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy.

Tópicos

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Resumo

The interest in image dermoscopy has been significantly increased recently and skin lesion images are nowadays routinely acquired for a number of skin disorders. An important finding in the assessment of a skin lesion severity is the existence of dark dots and globules, which are hard to locate and count using existing image software tools. In this work we present a novel methodology for detecting/segmenting and count dark dots and globules from dermoscopy images. Segmentation is performed using a multi-resolution approach based on inverse non-linear diffusion. Subsequently, a number of features are extracted from the segmented dots/globules and their diagnostic value in automatic classification of dermoscopy images of skin lesions into melanoma and non-malignant nevus is evaluated. The proposed algorithm is applied to a number of images with skin lesions with known histo-pathology. Results show that the proposed algorithm is very effective in automatically segmenting dark dots and globules. Furthermore, it was found that the features extracted from the segmented dots/globules can enhance the performance of classification algorithms that discriminate between malignant and benign skin lesions, when they are combined with other region-based descriptors.

Resumo Limpo

interest imag dermoscopi signific increas recent skin lesion imag nowaday routin acquir number skin disord import find assess skin lesion sever exist dark dot globul hard locat count use exist imag softwar tool work present novel methodolog detectingseg count dark dot globul dermoscopi imag segment perform use multiresolut approach base invers nonlinear diffus subsequ number featur extract segment dotsglobul diagnost valu automat classif dermoscopi imag skin lesion melanoma nonmalign nevus evalu propos algorithm appli number imag skin lesion known histopatholog result show propos algorithm effect automat segment dark dot globul furthermor found featur extract segment dotsglobul can enhanc perform classif algorithm discrimin malign benign skin lesion combin regionbas descriptor

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