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http://hdl.handle.net/2445/123294
Title: | Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge |
Author: | Bernal, Jorge Tajbakhsh, Nima Sánchez, F. Javier Matuszewski, Bogdan J. Chen, Hao Yu, Lequan Angermann, Quentin Romain, Olivier Rustad, Bjorn Balasingham, Ilangko Pogorelov, Konstantin Choi, Sungbin Debard, Quentin Maier-Hein, Lena Speidel, Stefanie Stoyanov, Danail Brandao, Patrick Cordova, Henry Sánchez Montes, Cristina Gurudu, Suryakanth R. Fernández Esparrach, Glòria Dray, Xavier Liang, Jianming Histace, Aymeric |
Keywords: | Colonoscòpia Càncer colorectal Endoscòpia Colonoscopy Colorectal cancer Endoscopy |
Issue Date: | Jun-2017 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract: | Colonoscopy is the gold standard for colon cancer screening though some polyps are still missed, thus preventing early disease detection and treatment. Several computational systems have been proposed to assist polyp detection during colonoscopy but so far without consistent evaluation. The lack of publicly available annotated databases has made it difficult to compare methods and to assess if they achieve performance levels acceptable for clinical use. The Automatic Polyp Detection sub-challenge, conducted as part of the Endoscopic Vision Challenge (http://endovis.grand-challenge.org) at the international conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2015, was an effort to address this need. In this paper, we report the results of this comparative evaluation of polyp detection methods, as well as describe additional experiments to further explore differences between methods. We define performance metrics and provide evaluation databases that allow comparison of multiple methodologies. Results show that convolutional neural networks are the state of the art. Nevertheless, it is also demonstrated that combining different methodologies can lead to an improved overall performance. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1109/TMI.2017.2664042 |
It is part of: | IEEE Transactions on Medical Imaging, 2017, vol. 36, num. 6, p. 1231-1249 |
URI: | http://hdl.handle.net/2445/123294 |
Related resource: | https://doi.org/10.1109/TMI.2017.2664042 |
ISSN: | 0278-0062 |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) Articles publicats en revistes (Medicina) |
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667757.pdf | 2.37 MB | Adobe PDF | View/Open |
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