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Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function
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Paper Abstract

Volumetric Laser Endomicroscopy (VLE) is a promising balloon-based imaging technique for detecting early neoplasia in Barretts Esophagus. Especially Computer Aided Detection (CAD) techniques show great promise compared to medical doctors, who cannot reliably find disease patterns in the noisy VLE signal. However, an essential pre-processing step for the CAD system is tissue segmentation. At present, tissue is segmented manually but is not scalable for the entire VLE scan consisting of 1,200 frames of 4,096 × 2,048 pixels. Furthermore, the current CAD methods cannot use the VLE scans to their full potential, as only a small segment of the esophagus is selected for further processing, while an automated segmentation system results in significantly more available data. This paper explores the possibility of automatically segmenting relevant tissue for VLE scans using FusionNet and a domain-specific loss function. The contribution of this work is threefold. First, we propose a tissue segmentation algorithm for VLE scans. Second, we introduce a weighted ground truth that exploits the signal-to-noise ratio characteristics of the VLE data. Third, we compare our algorithm segmentation against two additional VLE experts. The results show that our algorithm annotations are indistinguishable from the expert annotations and therefore the algorithm can be used as a preprocessing step for further classification of the tissue.

Paper Details

Date Published: 15 March 2019
PDF: 7 pages
Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109492J (15 March 2019); doi: 10.1117/12.2512192
Show Author Affiliations
Joost van der Putten, Technische Univ. Eindhoven (Netherlands)
Fons van der Sommen, Technische Univ. Eindhoven (Netherlands)
Maarten Struyvenberg, Amsterdam UMC (Netherlands)
Jeroen de Groof, Amsterdam UMC (Netherlands)
Wouter Curvers M.D., Catharina Hospital (Netherlands)
Erik Schoon M.D., Catharina Hospital (Netherlands)
Jacques J.G.H.M. M. Bergman M.D., Amsterdam UMC (Netherlands)
Peter H. N. de With, Technische Univ. Eindhoven (Netherlands)


Published in SPIE Proceedings Vol. 10949:
Medical Imaging 2019: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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