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PERFORMANCE OF ENDOSCOPIC IMAGE ANALYSIS ALGORITHMS IN LARGE BOWEL VIDEOS PROCESSING

Abstract

Computer-assisted endoscopy is a rapidly developing eld of study. Many image anal- ysis algorithms exist, achieving very high rates of eciency at processing single endoscopic images. However, most of them were never tested in processing real-life endoscopic videos. In the article such tests of 16 endoscopy image analysis algorithms are presented and dis- cussed. Tests were performed on two real-life endoscopic videos of a human large bowel. Each algorithm was trained and tested twice: for recognizing cancer/normal tissue and for blurry/sharp frames. Results of those tests showed that there exists only a small correlation between algorithms' eciency scores (from single images tests) and their performance at pro- cessing real-life endoscopic videos. This brought to conclusion that eciency tests on single images are not sucient for estimating algorithms' quality in real-life videos processing.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Materiały konferencyjne ICT Young 2013 strony 205 - 210
Language:
English
Publication year:
2013
Bibliographic description:
Cychnerski J., Brzeski A., Blokus A.: PERFORMANCE OF ENDOSCOPIC IMAGE ANALYSIS ALGORITHMS IN LARGE BOWEL VIDEOS PROCESSING// Materiały konferencyjne ICT Young 2013/ Gdańsk: , 2013, s.205-210
Verified by:
Gdańsk University of Technology

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