Automated topographic segmentation and transit time estimation in endoscopic capsule exams

• Tipo: Artigo em Revista Científica Internacional
• Data: 2008

Autores

Silva P S Cunha (Autor) Outra; Coimbra, A (Autor) FCUP; Campos, P (Autor) Outra; Soares, JM (Autor) Outra

Revista

Título: IEEE Transactions on Medical Imaging

Vol. 27

Páginas: 19-27

ISSN: 0278-0062

Editora: IEEE

Indexação

ISI Web of Knowledge - 64 Citações

Scopus - 78 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-004-3GZ

DOI: 10.1109/tmi.2007.901430

Abstract (EN): Endoscopic capsule is a recent medical technology with important clinical benefits but suffering from a practical handicap: long exam annotation times. This paper proposes and compares two approaches (Bayesian and support vector machines) that can be used to segment the gastrointestinal tract into its four major topographic areas, allowing the automatic estimation of the clinically relevant gastric and intestinal sections and corresponding transit times. According to medical specialists, this can reduce exam annotation times by up to 12% (15 min). This automatic tool has been integrated into our CapView annotation software that is currently being used by three medical institutions.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9