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

Bernal, Jorge; Tajkbaksh, Nima; Javier Sanchez, Francisco; J. Matuszewski, Bogdan; Chen, Hao; Yu, Lequan; Angermann, Quentin; Romain, Olivier; M. Rustad, B.; Balasingham, Ilangko; Pogorelov, Konstantin; Choi, Sungbin; Debard, Quentin; Maier‐Hein, Lena; Speidel, Stefanie; Stoyanov, Danail; Brandão, Patrick; Córdova, Henry; Sánchez-Montes, Cristina; Gurudu, Suryakanth; Fernández‐Esparrach, Glòria; Dray, Xavier; Liang, Jianming; Histace, Aymeric

doi:10.1109/tmi.2017.2664042

Public

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

Published in IEEE Transactions on Medical Imaging • Feb 7, 2017

Authors:

Jorge Bernal

Nima Tajkbaksh

Francisco Javier Sanchez

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 ...

Subject

Computer science

Colonoscopy

Convolutional neural network

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