Evaluation of i-Scan virtual chromoendoscopy and traditional chromoendoscopy for the automated diagnosis of colonic polyps

Wimmer G, Gadermayr M, Kwitt R, Haefner M, Merhof D, Uhl A (2017)


Publication Type: Conference contribution

Publication year: 2017

Journal

Publisher: Springer Verlag

Book Volume: 10170 LNCS

Pages Range: 59-71

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Athens, GRC

ISBN: 9783319540566

DOI: 10.1007/978-3-319-54057-3_6

Abstract

Image enhancement technologies, such as chromoendoscopy and digital chromoendoscopy were reported to facilitate the detection and diagnosis of colonic polyps during endoscopic sessions. Here, we investigate the impact of enhanced imaging technologies on the classifica- tion accuracy of computer-aided diagnosis systems. Specifically, we deter- mine if image representations obtained from different imaging modalities are significantly different and experimentation is performed to figure out the impact of utilizing differing imaging modalities in the training and validation sets. Finally, we examine if merging the images of similar imaging modalities for training the classification model can be effectively applied to improve the accuracy.

Involved external institutions

How to cite

APA:

Wimmer, G., Gadermayr, M., Kwitt, R., Haefner, M., Merhof, D., & Uhl, A. (2017). Evaluation of i-Scan virtual chromoendoscopy and traditional chromoendoscopy for the automated diagnosis of colonic polyps. In Guang-Zhong Yang, Nassir Navab, Jonathan McLeod, Terry Peters, Kensaku Mori, Xiongbiao Luo, Tobias Reichl (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 59-71). Athens, GRC: Springer Verlag.

MLA:

Wimmer, Georg, et al. "Evaluation of i-Scan virtual chromoendoscopy and traditional chromoendoscopy for the automated diagnosis of colonic polyps." Proceedings of the 2nd International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016, Athens, GRC Ed. Guang-Zhong Yang, Nassir Navab, Jonathan McLeod, Terry Peters, Kensaku Mori, Xiongbiao Luo, Tobias Reichl, Springer Verlag, 2017. 59-71.

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