A computational approach for detecting pigmented skin lesions in macroscopic images
| Autor: | João Manuel R. S. Tavares, Roberta B. Oliveira, Norian Marranghello, Aledir Silveira Pereira |
|---|---|
| Přispěvatelé: | Faculdade de Engenharia, Univ Porto, Universidade Estadual Paulista (Unesp) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Support vector machine
Computer science Image classification 02 engineering and technology Engineering and technology 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 0202 electrical engineering electronic engineering information engineering medicine Ciências da engenharia e tecnologias Segmentation Computer vision PIGMENTED SKIN LESION Active contour model Image segmentation Contextual image classification integumentary system business.industry General Engineering medicine.disease Technological sciences Engineering and technology Computer Science Applications Image pre-processing Active contour model without edges Anisotropic diffusion filter Ciências Tecnológicas Ciências da engenharia e tecnologias 020201 artificial intelligence & image processing Artificial intelligence Skin cancer Pigmented skin business Skin lesion |
| Zdroj: | Web of Science Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| Popis: | Made available in DSpace on 2018-11-26T16:48:21Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-11-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) SciTech - Science and Technology for Competitive and Sustainable Industries Programa Operacional Regional do Norte (NORTE), through Fundo Europeu de Desenvolvimento Regional (FEDER) Skin cancer is considered one of the most common types of cancer in several countries and its incidence rate has increased in recent years. Computational methods have been developed to assist dermatologists in early diagnosis of skin cancer. Computational analysis of skin lesion images has become a challenging research area due to the difficulty in discerning some types of skin lesions. A novel computational approach is presented for extracting skin lesion features from images based on asymmetry, border, colour and texture analysis, in order to diagnose skin lesion types. The approach is based on an anisotropic diffusion filter, an active contour model without edges and a support vector machine. Experiments were performed regarding the segmentation and classification of pigmented skin lesions in macroscopic images, with the results obtained being very promising. (C) 2016 Elsevier Ltd. All rights reserved. Univ Porto, Inst Ciencia & Inovacao Engn Mecan & Engn Ind, Dept Engn Mecan, Fac Engn, Rua Dr Roberto Frias,S-N, P-4200465 Oporto, Portugal Univ Estadual Paulista, Dept Ciencias Comp & Estat, Inst Biociencias Letras & Ciencias Exatas, Rua Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil Univ Estadual Paulista, Dept Ciencias Comp & Estat, Inst Biociencias Letras & Ciencias Exatas, Rua Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil SciTech - Science and Technology for Competitive and Sustainable Industries: NORTE-01-0145-FEDER-000022 |
| Databáze: | OpenAIRE |
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