Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis
Gadermayr M, Wimmer G, Uhl A, Kogler H, Vecsei A, Merhof D (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: Springer Verlag
Book Volume: 10485 LNCS
Pages Range: 467-478
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Catania, ITA
ISBN: 9783319685472
DOI: 10.1007/978-3-319-68548-9_43
Abstract
While a significant amount of research has been on computer aided diagnosis of celiac disease, challenges remain especially due to difficult imaging conditions during endoscopy which frequently result in image degradations. To compensate for these degradations which often hide relevant disease markers, classification trials so far have been performed exclusively utilizing informative patches, which were manually selected by experienced physicians. In this work, we propose a novel fully-automated method to obtain decisions from computer aided diagnosis systems without any interaction, based on original endoscopic image data. For this purpose, we rely on a discriminative model based on convolutional neural networks trained with informative patch data. Additionally, we fit a probabilistic model utilizing original endoscopic image data to obtain realistic predictions for patches concerning their level of reliability. In our experiments, the state-of-the-art considering a classification on image as well as on patient level is outperformed.
Involved external institutions
Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen
Germany (DE)
Universität Salzburg (Paris Lodron Universität Salzburg)
Austria (AT)
Medizinische Universität Wien
Austria (AT)
Germany (DE)
Universität Salzburg (Paris Lodron Universität Salzburg)
Austria (AT)
Medizinische Universität Wien
Austria (AT)
How to cite
APA:
Gadermayr, M., Wimmer, G., Uhl, A., Kogler, H., Vecsei, A., & Merhof, D. (2017). Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis. In Sebastiano Battiato, Giovanni Gallo, Filippo Stanco, Raimondo Schettini (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 467-478). Catania, ITA: Springer Verlag.
MLA:
Gadermayr, Michael, et al. "Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis." Proceedings of the 19th International Conference on Image Analysis and Processing, ICIAP 2017, Catania, ITA Ed. Sebastiano Battiato, Giovanni Gallo, Filippo Stanco, Raimondo Schettini, Springer Verlag, 2017. 467-478.
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