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dc.creatorRoberta B. Oliveira
dc.creatorMercedes E. Filho
dc.creatorZhen Ma
dc.creatorJoão P. Papa
dc.creatorAledir S. Pereira
dc.creatorJoão Manuel R. S. Tavares
dc.description.abstractBackground and objectives: Because skin cancer affects millions of people worldwide, computationalmethods for the segmentation of pigmented skin lesions in images have beendeveloped in order to assist dermatologists in their diagnosis. This paper aims to present areview of the current methods, and outline a comparative analysis with regards to severalof the fundamental steps of image processing, such as image acquisition, pre-processingand segmentation.Methods: Techniques that have been proposed to achieve these tasks were identified andreviewed. As to the image segmentation task, the techniques were classified according totheir principle.Results: The techniques employed in each step are explained, and their strengths and weaknessesare identified. In addition, several of the reviewed techniques are applied to macroscopicand dermoscopy images in order to exemplify their results.Conclusions: The image segmentation of skin lesions has been addressed successfully in manystudies; however, there is a demand for new methodologies in order to improve the efficiency.
dc.subjectCiências Tecnológicas, Ciências da engenharia e tecnologias
dc.subjectTechnological sciences, Engineering and technology
dc.titleComputational methods for the image segmentation of pigmented skin lesions: a review
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias
dc.subject.fosEngineering and technology
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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