Combining color with spatial and temporal position of the endoscopic capsule for improved topographic classification and segmentation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

Coimbra, M (Autor) FCUP; Kustra, J (Autor) Outra; Campos, P (Autor) Outra; Silva Cunha, JP (Autor) Outra

Ata de Conferência Internacional

Título: CEUR Workshop Proceedings

Páginas: 17-18

1st International Conference on Semantic and Digital Media Technologies, SAMT 2006

Athens, 6 December 2006 through 8 December 2006

Indexação

ISI Web of Knowledge

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-008-EHC

Abstract (EN): Capsule endoscopy is a recent technology with a clear need for automatic tools that reduce the long exam annotation times of exams. We have previously developed a topographic segmentation method, which is now improved by using spatial and temporal position information. Two approaches are studied: using this information as a confidence measure for our previous segmentation method, and direct integrating of this data into the image classification process. These allow us not only to automatically know when we have obtained results with error magnitudes close to human errors, but also to reduce these automatic errors to much lower values. All the developed methods have been integrated in the CapView annotation software, currently used for clinical practice in hospitals responsible for over 250 capsule exams per year, and where we estimate that the two hour annotation times are reduced by around 15 minutes.

Idioma: Inglês

Tipo (Avaliação Docente): Científica