Improved Barrett's cancer detection in volumetric laser endomicroscopy scans using multiple-frame voting

Autor: Rikos, A., van der Sommen, F., Zinger, S., de With, P.H.N., Curvers, W.L., Schoon, E.J. (Erik), Swager, A.-F., Bergman, J.J. (Jacques), Bamidis, Panagiotis D., Konstantinidis, Stathis Th., Rodrigues, Pedro Pereira

Publikováno v: CBMS
30th IEEE International Conference on Computer-Based Medical Systems (CBMS), 20-22 June 2017, Thessaloniki, Greece, 708-713
STARTPAGE=708;ENDPAGE=713;TITLE=30th IEEE International Conference on Computer-Based Medical Systems (CBMS), 20-22 June 2017, Thessaloniki, Greece

This paper explores the feasibility of using multiframe analysis to increase the classification performance of machine learning methods for cancer detection in Volumetric Laser Endomicroscopy (VLE). VLE is a novel and promising modality for the detec

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