Compressed Domain Topographic Classification for Capsule Endoscopy

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

Autores

Marques, N (Autor) Outra; Dias, E (Autor) Outra; Cunha, JPS (Autor) FEUP; Coimbra, M (Autor) FCUP

Ata de Conferência Internacional

Título: 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Páginas: 6631-6634

33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

Boston, MA, AUG 30-SEP 03, 2011

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-002-WXF

DOI: 10.1109/iembs.2011.6091635

Abstract (EN): In this paper we compare the classification accuracy of using compressed domain color (CDC) descriptors versus traditional full decoded images, for the purposes of topographic classification of wireless capsule endoscopy images. Results using a dataset of 26469 images, divided into stomach, small intestine and large intestine show a difference in classification accuracy below 1%. We also show that errors are mostly located near zone transitions (the pylorus and the ileocecal valve) and motivate the need for other visual descriptors (e. g. shape, motion) for addressing these specific areas. We conclude we can use the advantages of CDC in this type of classification with minor accuracy sacrifice.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4