MPEG-7 visual descriptors - Contributions for automated feature extraction in capsule endoscopy

• Tipo: Artigo em Revista Científica Internacional
• Data: 2006

Autores

Coimbra, MT (Autor) FCUP; Cunha, JPS (Autor) Outra

Revista

Título: IEEE Transactions on Circuits and Systems for Video Technology

Vol. 16

Páginas: 628-637

ISSN: 1051-8215

Editora: IEEE

Indexação

ISI Web of Knowledge - 128 Citações

Scopus - 161 Citações

Classificação Científica

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

Outras Informações

ID Authenticus: P-004-KYD

DOI: 10.1109/tcsvt.2006.873158

Abstract (EN): Recent advances in miniaturization led to the development of what is now called the endoscopic capsule. This small device is swallowed by a patient ana films the whole gastrointestinal tract, allowing the detection of abnormalities. Currently, a doctor typically needs up to two hours to analyze a full exam, so automation is desirable. This paper presents a methodology for measuring the potential of selected visual MPEG-7 descriptors for the task of specific medical event detection such as blood, ulcers. Experiments show that the best results are obtained by the Scalable Color and Homogenous Texture descriptors, especially if only relevant coefficients are used.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10