Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease

Jutta Hämmerle-Uhl; Yvonne Höller; Andreas Uhl; Andreas Vécsei

doi:10.1007/978-3-642-33454-2_71

Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease

Jutta Hämmerle-Uhl, Yvonne Höller, Andreas Uhl, Andreas Vécsei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Editors	Nicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Publisher	Springer Verlag
Pages	574-581
Number of pages	8
ISBN (Print)	9783642334535
DOIs	https://doi.org/10.1007/978-3-642-33454-2_71
Publication status	Published - 2012
Externally published	Yes
Event	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France Duration: 1 Oct 2012 → 5 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7512 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Country/Territory	France
City	Nice
Period	1/10/12 → 5/10/12

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.

Other keywords

Automated classification
Celiac disease
Endoscope distortion correction
Shape- and edge-based features

Access to Document

10.1007/978-3-642-33454-2_71

Cite this

Hämmerle-Uhl, J., Höller, Y., Uhl, A., & Vécsei, A. (2012). Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. In N. Ayache, H. Delingette, P. Golland, & K. Mori (Eds.), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings (pp. 574-581). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7512 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-33454-2_71

Hämmerle-Uhl, Jutta ; Höller, Yvonne ; Uhl, Andreas et al. / Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. editor / Nicholas Ayache ; Herve Delingette ; Polina Golland ; Kensaku Mori. Springer Verlag, 2012. pp. 574-581 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b71f1e383b5749a7bb5c65cbef8a68db,

title = "Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease",

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.",

keywords = "Automated classification, Celiac disease, Endoscope distortion correction, Shape- and edge-based features",

author = "Jutta H{\"a}mmerle-Uhl and Yvonne H{\"o}ller and Andreas Uhl and Andreas V{\'e}csei",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2012.; 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 05-10-2012",

year = "2012",

doi = "10.1007/978-3-642-33454-2_71",

language = "English",

isbn = "9783642334535",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "574--581",

editor = "Nicholas Ayache and Herve Delingette and Polina Golland and Kensaku Mori",

booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings",

address = "Germany",

}

Hämmerle-Uhl, J, Höller, Y, Uhl, A & Vécsei, A 2012, Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. in N Ayache, H Delingette, P Golland & K Mori (eds), Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7512 LNCS, Springer Verlag, pp. 574-581, 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012, Nice, France, 1/10/12. https://doi.org/10.1007/978-3-642-33454-2_71

Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. / Hämmerle-Uhl, Jutta; Höller, Yvonne; Uhl, Andreas et al.

Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. ed. / Nicholas Ayache; Herve Delingette; Polina Golland; Kensaku Mori. Springer Verlag, 2012. p. 574-581 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7512 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease

AU - Hämmerle-Uhl, Jutta

AU - Höller, Yvonne

AU - Uhl, Andreas

AU - Vécsei, Andreas

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2012.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Automated classification

KW - Celiac disease

KW - Endoscope distortion correction

KW - Shape- and edge-based features

UR - http://www.scopus.com/inward/record.url?scp=84872942930&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-33454-2_71

DO - 10.1007/978-3-642-33454-2_71

M3 - Conference contribution

C2 - 23286177

AN - SCOPUS:84872942930

SN - 9783642334535

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 574

EP - 581

BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings

A2 - Ayache, Nicholas

A2 - Delingette, Herve

A2 - Golland, Polina

A2 - Mori, Kensaku

PB - Springer Verlag

T2 - 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012

Y2 - 1 October 2012 through 5 October 2012

ER -

Hämmerle-Uhl J, Höller Y, Uhl A, Vécsei A. Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. In Ayache N, Delingette H, Golland P, Mori K, editors, Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings. Springer Verlag. 2012. p. 574-581. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33454-2_71

Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease

Abstract

Publication series

Conference

Bibliographical note

Other keywords

Access to Document

Fingerprint

Cite this