The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia

Jeroen de Groof; Joost van der Putten; Fons van der Sommen; S. Zinger; Wouter Curvers; Raf Bisschops; Oliver Pech; Alexander Meining; Horst Neuhaus; Erik. J. Schoon; P.H.N. de With; Jacques Bergman

doi:10.1016/S0016-5085(18)34470-6

The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia

Jeroen de Groof
, Joost van der Putten
, Fons van der Sommen
, S. Zinger
, Wouter Curvers
, Raf Bisschops
, Oliver Pech
, Alexander Meining
, Horst Neuhaus
, Erik. J. Schoon
, P.H.N. de With
, Jacques Bergman

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Pages (from-to)	S-1368
Number of pages	1
Journal	Gastroenterology
Volume	154
Issue number	6 suppl. 1
DOIs	https://doi.org/10.1016/S0016-5085(18)34470-6
Publication status	Published - 1 May 2018

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10.1016/S0016-5085(18)34470-6

Cite this

de Groof, J., van der Putten, J., van der Sommen, F., Zinger, S., Curvers, W., Bisschops, R., Pech, O., Meining, A., Neuhaus, H., Schoon, E. J., de With, P. H. N., & Bergman, J. (2018). The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia. Gastroenterology, 154(6 suppl. 1), S-1368. https://doi.org/10.1016/S0016-5085(18)34470-6

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title = "The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia",

author = "\{de Groof\}, Jeroen and \{van der Putten\}, Joost and \{van der Sommen\}, Fons and S. Zinger and Wouter Curvers and Raf Bisschops and Oliver Pech and Alexander Meining and Horst Neuhaus and Schoon, \{Erik. J.\} and \{de With\}, P.H.N. and Jacques Bergman",

year = "2018",

month = may,

day = "1",

doi = "10.1016/S0016-5085(18)34470-6",

language = "English",

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de Groof, J, van der Putten, J , van der Sommen, F , Zinger, S, Curvers, W, Bisschops, R, Pech, O, Meining, A, Neuhaus, H, Schoon, EJ, de With, PHN & Bergman, J 2018, 'The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia', Gastroenterology, vol. 154, no. 6 suppl. 1, pp. S-1368. https://doi.org/10.1016/S0016-5085(18)34470-6

The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia. / de Groof, Jeroen; van der Putten, Joost ; van der Sommen, Fons et al.
In: Gastroenterology, Vol. 154, No. 6 suppl. 1, 01.05.2018, p. S-1368.

Research output: Contribution to journal › Meeting Abstract › Academic

TY - JOUR

T1 - The Argos Project: evaluation of results of a clinically-inspired algorithm vs. a deep learning algorithm for the detection and delineation of Barrett's neoplasia

AU - de Groof, Jeroen

AU - van der Putten, Joost

AU - van der Sommen, Fons

AU - Zinger, S.

AU - Curvers, Wouter

AU - Bisschops, Raf

AU - Pech, Oliver

AU - Meining, Alexander

AU - Neuhaus, Horst

AU - Schoon, Erik. J.

AU - de With, P.H.N.

AU - Bergman, Jacques

PY - 2018/5/1

Y1 - 2018/5/1

U2 - 10.1016/S0016-5085(18)34470-6

DO - 10.1016/S0016-5085(18)34470-6

M3 - Meeting Abstract

SN - 0016-5085

VL - 154

SP - S-1368

JO - Gastroenterology

JF - Gastroenterology

IS - 6 suppl. 1

ER -