title: Nevus and melanoma paraconsistent classification.
abstract: This paper presents the first studies on Nevus and Melanoma classification by using Paraconsistent Artificial Neural Network (PANN). Nevus is usually a small growth on the skin while Melanoma is a dangerous skin cancer. The proposed automated process classifies a set of medical images as Nevus and Melanoma based on a methodology grounded on PANN which is able to deal with conflicting, paracomplete and imprecise data directly without trivialization. Such methodology performed promising results considering only border features to classify the sample.
authors.affiliation: Institute for Advanced Studies, University of São Paulo, Brazil.
authors.forename: Sheila
authors.initials: S
authors.lastname: Souza
authors.affiliation: Institute for Advanced Studies, University of São Paulo, Brazil.
authors.forename: Jair Minoro
authors.initials: JM
authors.lastname: Abe
mesh_terms: D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008545:Melanoma / Q000145:classification* / Q000000981:diagnostic imaging*; D016571:Neural Networks, Computer; D009506:Nevus / Q000145:classification* / Q000000981:diagnostic imaging*; D012878:Skin Neoplasms / Q000145:classification* / Q000000981:diagnostic imaging*