ECCA - Endoscopic Capsule Capview cAtaloguer

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

Authors

Sergio Lima (Author) Other; Joao P S Silva Cunha (Author) Other; Miguel Coimbra (Author) FCUP; Jose M Soares (Author) Other

Conference proceedings International

Title: WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 5

Pages: 226-229

World Congress on Medical Physics and Biomedical Engineering

Munich, GERMANY, SEP 07-12, 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-003-SE8

DOI: 10.1007/978-3-642-03904-1-63

Abstract (EN): Statistical pattern recognition research, namely in applied computer vision, typically needs highly accurate massive datasets to train and test its classifiers. This paper presents extensive work for creating a large clinically annotated dataset of high confidence events for gastroenterology. More specifically, we address images and videos obtained using endoscopic capsule imaging technology, which contain some kind of lesion. The purpose of such dataset is to boost scientific research in computer aided diagnostic systems for a technology that would clearly benefit from them.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4