Abstract
Distortion correction is applied to endoscopic duodenal imagery to improve automated classification of celiac disease affected mucosa patches. In a set of six edge- and shape-related feature extraction techniques, only a single one is able to consistently benefit from distortion correction, while for others, even a decrease of classification accuracy is observed. Different types of distortion correction do not lead to significantly different behaviour in the observed application scenario.
This work has been partially supported by the Austrian Science Fund project no. 24366.
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Liedlgruber, M., Uhl, A.: Computer-aided decision support systems for endoscopy in the gastrointestinal tract: A review. IEEE Reviews in Biomedical Engineering 4, 73–88 (2012)
Borcharrt, T., Conci, A., d’Ornellas, M.: A warping based approach to correct distortions in endoscopic images. In: Proceedings of the 22nd Brazilian Symposium on Computer Graphics and Image Processing (Sibgrapi 2009), Rio de Janeiro, Brazil (October 2009)
Asari, K.V., Kumar, S., Radhakrishnan, D.: A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation. IEEE Transactions on Medical Imaging 18(4), 345–354 (1999)
Liedlgruber, M., Uhl, A., Vécsei, A.: Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease. In: Proceedings of the 17th International Conference on Digital Signal Processing (DSP 2011), Corfu, Greece (July 2011)
Gschwandtner, M., Liedlgruber, M., Uhl, A., Vécsei, A.: Experimental study on the impact of endoscope distortion correction on computer-assisted celiac disease diagnosis. In: Proceedings of the 10th International Conference on Information Technology and Applications in Biomedicine (ITAB 2010), Corfu, Greece (November 2010)
Hartley, R., Kang, S.: Parameter-free radial distortion correction with center of distortion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(8), 1309–1321 (2007)
Vécsei, A., Amann, G., Hegenbart, S., Liedlgruber, M., Uhl, A.: Automated marsh-like classification of celiac disease in children using an optimized local texture operator. Computers in Biology and Medicine 41(6), 313–325 (2011)
Ciaccio, E.J., Tennyson, C.A., Lewis, S.K., Krishnareddy, S., Bhagat, G., Green, P.H.: Distinguishing patients with celiac disease by quantitative analysis of videocapsule endoscopy images. Computer Methods and Programs in Biomedicine 100(1), 39–48 (2010)
Barreto, J., Swaminathan, R., Roquette, J.: Non parametric distortion correction in endoscopic medical images. In: Proceedings of the 3DTV Conference 2007, Kos, Greece, pp. 1–4 (2007)
Backes, A.R., Bruno, O.M.: A New Approach to Estimate Fractal Dimension of Texture Images. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds.) ICISP 2008. LNCS, vol. 5099, pp. 136–143. Springer, Heidelberg (2008)
Varma, M., Garg, R.: Locally invariant fractal features for statistical texture classification. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, pp. 1–8 (2007)
Haralick, R., Shanmugan, K., Dinstein, I.: Textual features for image classification. IEEE Transactions on Systems, Man, and Cybernetics SMC-3, 610–621 (1973)
Rautkorpi, R., Iivarinen, J.: A Novel Shape Feature for Image Classification and Retrieval. In: Campilho, A., Kamel, M. (eds.) ICIAR 2004. LNCS, vol. 3211, pp. 753–760. Springer, Heidelberg (2004)
Manjunath, B., Salembier, P., Sikora, T.: Introduction to MPEG-7: Multimedia Content Description Interface. Wiley & Sons (2002)
Ayala, G., Domingo, J.: Spatial size distributions: Applications to shape and texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(12), 1430–1442 (2001)
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Hämmerle-Uhl, J., Höller, Y., Uhl, A., Vécsei, A. (2012). Endoscope Distortion Correction Does Not (Easily) Improve Mucosa-Based Classification of Celiac Disease. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33454-2_71
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