Extracting clinical information from endoscopic capsule exams using MPEG-7 visual descriptors

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Coimbra, M (Author) Other; Campos, P (Author) Other; Cunha, JPS (Author) Other

Conference proceedings International

Title: IET Seminar Digest

Pages: 105-110

2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2005

London, 30 November 2005 through 1 December 2005

Indexing

ISI Web of Knowledge

Scopus - 19 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-007-QJN

DOI: 10.1049/ic.2005.0718

Abstract (EN): The endoscopic capsule is a recent technological breakthrough with high clinical importance. Exam analysis duration is its main setback, requiring an average of two hours from a trained specialist. Automation is required and this paper presents a topographic segmentation tool using low-level features that can reduce annotation times up to 15 minutes per exam. This is accomplished using Bayesian classifiers and MPEG-7 visual descriptors.

Language: English

Type (Professor's evaluation): Scientific