Paper Info
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.
Year
DOI
Venue
2014
10.3233/978-1-61499-474-9-244
Studies in Health Technology and Informatics
Keywords
Field
DocType
Melanoma,Nevus,Paraconsistent Classification,Paraconsistent Artificial Neural Network,Artificial Intelligence,Paraconsistent Logic
Data mining,Skin cancer,Nevus,Artificial intelligence,Melanoma,Artificial neural network,Medicine,Machine learning
Conference
Volume
ISSN
Citations 
207
0926-9630
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Sheila Souza100.34
Jair Minoro Abe201.69