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2017-06

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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/123294

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge

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https://doi.org/10.1109/TMI.2017.2664042

Resum

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.

Matèries

Colonoscòpia, Càncer colorectal, Endoscòpia

Matèries (anglès)

Colonoscopy, Colorectal cancer, Endoscopy

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Articles publicats en revistes (Medicina)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

Citació

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. Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge. _IEEE Transactions on Medical Imaging_. 2017. Vol. 36, núm. 6, pàgs. 1231-1249. [consulta: 21 de gener de 2026]. ISSN: 0278-0062. [Disponible a: https://hdl.handle.net/2445/123294]

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