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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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- 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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