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

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Coimbra, M (Author) FCUP; Kustra, J (Author) Other; Campos, P (Author) Other; Silva Cunha, JP (Author) Other

Conference proceedings International

Title: CEUR Workshop Proceedings

Pages: 17-18

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

Athens, 6 December 2006 through 8 December 2006

Indexing

ISI Web of Knowledge

Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific