Identifying Potentially Cancerous Tissues in Chromoendoscopy Images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Farhan Riaz (Autor) Outra; Fernando Vilarino (Autor) Outra; Mario D Dinis Ribeiro (Autor) FMUP; Miguel Coimbra (Autor) FCUP

Ata de Conferência Internacional

Título: PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011

Páginas: 709-716

5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Las Palmas, SPAIN, JUN 08-10, 2011

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-002-WW6

DOI: 10.1007/978-3-642-21257-4_88

Abstract (EN): The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8