Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy

A.-F. Swager, F. van der Sommen, Sander R. Klomp, S. Zinger, S.L. Meijer, E.J. Schoon, J.J. Bergman, P.H.N. de With, W.L. Curvers

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Abstract

This is the first study in which a computer algorithm for BE neoplasia was developed based on VLE images with direct histologic correlates. The algorithm showed good performance to detect BE neoplasia in ex vivo VLE images compared with the performance of a recently developed clinical VLE prediction score. This study suggests that an automatic detection algorithm has the potential to assist endoscopists in detecting early neoplasia on VLE. Future studies on in vivo VLE scans are needed to further validate the algorithm.
Original languageEnglish
Pages (from-to)839-846
Number of pages8
JournalGastrointestinal Endoscopy
Volume86
Issue number5
Early online date16 Mar 2017
DOIs
Publication statusPublished - Nov 2017

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title = "Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy",
abstract = "This is the first study in which a computer algorithm for BE neoplasia was developed based on VLE images with direct histologic correlates. The algorithm showed good performance to detect BE neoplasia in ex vivo VLE images compared with the performance of a recently developed clinical VLE prediction score. This study suggests that an automatic detection algorithm has the potential to assist endoscopists in detecting early neoplasia on VLE. Future studies on in vivo VLE scans are needed to further validate the algorithm.",
author = "A.-F. Swager and {van der Sommen}, F. and Klomp, {Sander R.} and S. Zinger and S.L. Meijer and E.J. Schoon and J.J. Bergman and {de With}, P.H.N. and W.L. Curvers",
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Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy. / Swager, A.-F.; van der Sommen, F.; Klomp, Sander R.; Zinger, S.; Meijer, S.L.; Schoon, E.J. ; Bergman, J.J.; de With, P.H.N.; Curvers, W.L.

In: Gastrointestinal Endoscopy, Vol. 86, No. 5, 11.2017, p. 839-846.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Swager, A.-F.

AU - van der Sommen, F.

AU - Klomp, Sander R.

AU - Zinger, S.

AU - Meijer, S.L.

AU - Schoon, E.J.

AU - Bergman, J.J.

AU - de With, P.H.N.

AU - Curvers, W.L.

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AB - This is the first study in which a computer algorithm for BE neoplasia was developed based on VLE images with direct histologic correlates. The algorithm showed good performance to detect BE neoplasia in ex vivo VLE images compared with the performance of a recently developed clinical VLE prediction score. This study suggests that an automatic detection algorithm has the potential to assist endoscopists in detecting early neoplasia on VLE. Future studies on in vivo VLE scans are needed to further validate the algorithm.

U2 - 10.1016/j.gie.2017.03.011

DO - 10.1016/j.gie.2017.03.011

M3 - Article

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VL - 86

SP - 839

EP - 846

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JF - Gastrointestinal Endoscopy

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