Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency

Gustavo A. Puerto-Souza (Lead / Corresponding author), Siyamalan Manivannan, María P. Trujillo, Jesus A. Hoyos, Emanuele Trucco, Gian-Luca Mariottini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a novel hierarchical approach to improve the accuracy of the classification of normal-vs-abnormal frames in white-light colonoscopy videos. The existing approaches label each frame independently, without considering the temporal consistency between adjacent frames. Temporal consistency, however, can improve the classification accuracy in the presence of unclear/uncertain images. We propose to leverage temporal consistency between adjacent frames for colonoscopy video frame classification using a novel hierarchical classifier. Comparative experiments with five challenging full colonoscopy videos show that the proposed approach considerably improves the mean class normal/abnormal classification accuracy compared to the approaches where the frames are classified independently.

Original languageEnglish
Title of host publicationComputer-Assisted and Robotic Endoscopy
Subtitle of host publicationSecond International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
EditorsXiongbiao Luo, Tobias Reichl, Austin Reiter , Gian-Luca Mariottini
PublisherSpringer Verlag
Pages129-139
Number of pages11
Volume9515
ISBN (Electronic)9783319299655
ISBN (Print)9783319299648
DOIs
Publication statusPublished - 20 Feb 2016
Event2nd International Workshop on Computer-Assisted and Robotic Endoscopy: CARE 2015 - Munich, Germany
Duration: 5 Oct 20155 Oct 2015
http://ranger.uta.edu/~gianluca/CARE15/Main.html (Link to conference)

Publication series

NameLecture notes in computer science
Volume9515
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

Workshop2nd International Workshop on Computer-Assisted and Robotic Endoscopy
CountryGermany
CityMunich
Period5/10/155/10/15
Internet address

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Cite this

Puerto-Souza, G. A., Manivannan, S., Trujillo, M. P., Hoyos, J. A., Trucco, E., & Mariottini, G-L. (2016). Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency. In X. Luo, T. Reichl, A. Reiter , & G-L. Mariottini (Eds.), Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers (Vol. 9515, pp. 129-139). (Lecture notes in computer science ; Vol. 9515). Springer Verlag. https://doi.org/10.1007/978-3-319-29965-5_13
Puerto-Souza, Gustavo A. ; Manivannan, Siyamalan ; Trujillo, María P. ; Hoyos, Jesus A. ; Trucco, Emanuele ; Mariottini, Gian-Luca. / Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency. Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. editor / Xiongbiao Luo ; Tobias Reichl ; Austin Reiter ; Gian-Luca Mariottini . Vol. 9515 Springer Verlag, 2016. pp. 129-139 (Lecture notes in computer science ).
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Puerto-Souza, GA, Manivannan, S, Trujillo, MP, Hoyos, JA, Trucco, E & Mariottini, G-L 2016, Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency. in X Luo, T Reichl, A Reiter & G-L Mariottini (eds), Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. vol. 9515, Lecture notes in computer science , vol. 9515, Springer Verlag, pp. 129-139, 2nd International Workshop on Computer-Assisted and Robotic Endoscopy, Munich, Germany, 5/10/15. https://doi.org/10.1007/978-3-319-29965-5_13

Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency. / Puerto-Souza, Gustavo A. (Lead / Corresponding author); Manivannan, Siyamalan; Trujillo, María P.; Hoyos, Jesus A.; Trucco, Emanuele; Mariottini, Gian-Luca.

Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. ed. / Xiongbiao Luo; Tobias Reichl; Austin Reiter ; Gian-Luca Mariottini . Vol. 9515 Springer Verlag, 2016. p. 129-139 (Lecture notes in computer science ; Vol. 9515).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper proposes a novel hierarchical approach to improve the accuracy of the classification of normal-vs-abnormal frames in white-light colonoscopy videos. The existing approaches label each frame independently, without considering the temporal consistency between adjacent frames. Temporal consistency, however, can improve the classification accuracy in the presence of unclear/uncertain images. We propose to leverage temporal consistency between adjacent frames for colonoscopy video frame classification using a novel hierarchical classifier. Comparative experiments with five challenging full colonoscopy videos show that the proposed approach considerably improves the mean class normal/abnormal classification accuracy compared to the approaches where the frames are classified independently.

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Puerto-Souza GA, Manivannan S, Trujillo MP, Hoyos JA, Trucco E, Mariottini G-L. Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency. In Luo X, Reichl T, Reiter A, Mariottini G-L, editors, Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Vol. 9515. Springer Verlag. 2016. p. 129-139. (Lecture notes in computer science ). https://doi.org/10.1007/978-3-319-29965-5_13