Abstract
In endoscopic images, significant barrel-type distortions are introduced in case of deploying wide-angle lenses. In this work, the effect of lens distortion correction on the human experts’ classification performance is investigated. Especially, the discrimination between healthy patients and patients suffering from celiac disease is examined. Furthermore, the classification results of human experts are compared with those achieved with state-of-the-art computer aided decision support systems. This paper considers a two- as well as a four-classes case. Finally we come to the conclusion, that distortion correction does not improve the human experts’ classification performance.
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References
Fasano A, Berti I, Gerarduzzi T, et al. Prevalence of celiac disease in at-risk and not-at-risk groups in the United States: a large multicenter study. Arc Int Med. 2003;163(3):286–92.
Cammarota G, Cesaro P, Martino A, et al. High accuracy and cost-effectiveness of a biopsy-avoiding endoscopic approach in diagnosing coeliac disease. Aliment Pharmacol Ther. 2006;23(1):61–9.
Kiesslich R, Mergener K, Naumann C, et al. Value of chromoendoscopy and magnification endoscopy in the evaluation of duodenal abnormalities: a prospective, randomized comparison. Endoscopy. 2003;35(7):559–63.
Badreldin R, Barrett P, Wooff DA, et al. How good is zoom endoscopy for assessment of villous atrophy in coeliac disease? Endoscopy. 2005;37(10):994–8.
Gadermayr M, Liedlgruber M, Uhl A, et al. Evaluation of different distortion correction methods and interpolation techniques for an automated classification of celiac disease. Comput Methods Programs Biomed. 2013;112(3):694–712.
Hegenbart S, Kwitt R, Liedlgruber M, et al. Impact of duodenal image capturing techniques and duodenal regions on the performance of automated diagnosis of celiac disease. In: Proc ISPA; 2009. p. 718–23.
Oberhuber G, Granditsch G, Vogelsang H. The histopathology of coeliac disease: time for a standardized report scheme for pathologists. Eur J Gastroenterol Hepatol. 1999;11(10):1185–94.
Gadermayr M, Liedlgruber M, Uhl A. Shape curvature histogram: a shape feature for celiac disease diagnosis. In: Proc MICCAI-MCV; 2013. p. –. Accepted.
Melo R, Barreto JP, Falcao G. A new solution for camera calibration and real-time image distortion correction in medical endoscopy-initial technical evaluation. IEEE Trans Biomed Eng. 2012;59(3):634–44.
Fitzgibbon AW. Simultaneous linear estimation of multiple view geometry and lens distortion. In: Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit; 2001. p. 125–32.
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Gadermayr, M., Uhl, A., Vécsei, A. (2014). The Effect of Endoscopic Lens Distortion Correction on Physicians’ Diagnosis Performance. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_35
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DOI: https://doi.org/10.1007/978-3-642-54111-7_35
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