Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks

Brandao, P, Zisimopoulos, O, Mazomenos, E orcid.org/0000-0003-0357-5996 et al. (9 more authors) (2018) Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks. Journal of Medical Robotics Research, 03 (02). 1840002. p. 1840002. ISSN 2424-905X

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Copyright, Publisher and Additional Information: Electronic version of an article published as Journal of Medical Robotics Research, 03, 02, 2018, 1840002, www.doi.org/10.1142/s2424905x18400020 © World Scientific Publishing Company https://www.worldscientific.com/worldscinet/jmrr
Keywords: Convolutional neural networks; colonoscopy; computer-aided diagnosis
Dates:
  • Published: June 2018
  • Accepted: 14 June 2017
  • Published (online): 13 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Mar 2020 14:01
Last Modified: 04 Jul 2020 14:33
Status: Published
Publisher: World Scientific Publishing Co Pte Ltd
Identification Number: https://doi.org/10.1142/s2424905x18400020

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