Identifying Potentially Cancerous Tissues in Chromoendoscopy Images

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Farhan Riaz (Author) Other; Fernando Vilarino (Author) Other; Mario D Dinis Ribeiro (Author) FMUP; Miguel Coimbra (Author) FCUP

Conference proceedings International

Title: PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011

Pages: 709-716

5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Las Palmas, SPAIN, JUN 08-10, 2011

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 4 Citations

Scientific classification

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

Other information

Authenticus ID: P-002-WW6

DOI: 10.1007/978-3-642-21257-4_88

Abstract (EN): The dynamics of image acquisition conditions for gastroenterology imaging scenarios pose novel challenges for automatic computer assisted decision systems. Such systems should have the ability to mimic the tissue characterization of the physicians. In this paper, our objective is to compare some feature extraction methods to classify a Chromoendoscopy image into two different classes: Normal and Potentially cancerous. Results show that LoG filters generally give best classification accuracy among the other feature extraction methods considered.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8