A TOOL FOR ENDOSCOPIC CAPSULE DATASET PREPARATION FOR CLINICAL VIDEO EVENT DETECTOR ALGORITHMS

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Sergio Lima (Author) Other; Joao Paulo Cunha (Author) Other; Miguel Coimbra (Author) FCUP; Jose M Soares (Author) Other

Conference proceedings International

Title: HEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

Pages: 265-269

Proceedings of the Second International Conference on Health Informatics, HEALTHINF 2009, Porto, Portugal, January 14-17, 2009

Oporto Portugal, JAN 14-17, 2009

Indexing

ISI Web of Knowledge - 0 Citations

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Scientific classification

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

Other information

Authenticus ID: P-003-Q7Y

Abstract (EN): In all R&D projects there's at least one phase of model verification and accuracy, and when we are working with visual information (such as pictures and video) this phase should be emphasised. When working with medical information and clinical trials the truth of automatic results must be accurate. This work is based on the need of a huge and well annotated dataset of pictures retrieved from endoscopic capsule. This datasets should be used to learn the computer vision algorithms focused on endoscopic capsule video processing, and event detection.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5