Ensemble detection of colorectal lesions for CT colonography

Janne J. Näppi; Daniele Regge; Hiroyuki Yoshida

doi:10.1007/978-3-642-28557-8_8

Ensemble detection of colorectal lesions for CT colonography

Janne J. Näppi, Daniele Regge, Hiroyuki Yoshida

Istituto Oncologico Candiolo

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

Abstract

Even though different computer-aided detection (CAD) systems for computed tomographic colonography (CTC) have similar overall detection accuracies, they are known to detect different types of lesions and false positives. We implemented an ensemble CAD scheme for merging the detection results of different CAD systems in CTC. After normalizing of the lesion-likelihood data between different systems, a Bayesian classifier was used for determining the final detections. For evaluation, we collected 218 abnormal patients with 263 lesions ≥6 mm. The detection accuracies of three CAD systems were compared with that of their ensemble CAD scheme by use of independent training and testing. The preliminary results indicate that the ensemble CAD scheme can yield a higher overall detection accuracy than can individual CAD systems. In particular, the ensemble scheme was able to detect flat lesions at high sensitivity without compromising a high polyp detection accuracy.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	60-67
Number of pages	8
Volume	7029 LNCS
DOIs	https://doi.org/10.1007/978-3-642-28557-8_8
Publication status	Published - 2012
Event	3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: Sep 18 2011 → Sep 18 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7029 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011
Country	Canada
City	Toronto, ON
Period	9/18/11 → 9/18/11

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Keywords

computer-aided detection
ensemble detection
machine learning
polyp detection
virtual colonoscopy

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Cite this

Näppi, J. J., Regge, D., & Yoshida, H. (2012). Ensemble detection of colorectal lesions for CT colonography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7029 LNCS, pp. 60-67). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7029 LNCS). https://doi.org/10.1007/978-3-642-28557-8_8

Ensemble detection of colorectal lesions for CT colonography. / Näppi, Janne J.; Regge, Daniele; Yoshida, Hiroyuki.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7029 LNCS 2012. p. 60-67 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7029 LNCS).

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

Näppi, JJ, Regge, D & Yoshida, H 2012, Ensemble detection of colorectal lesions for CT colonography. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7029 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7029 LNCS, pp. 60-67, 3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 9/18/11. https://doi.org/10.1007/978-3-642-28557-8_8

Näppi JJ, Regge D, Yoshida H. Ensemble detection of colorectal lesions for CT colonography. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7029 LNCS. 2012. p. 60-67. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-28557-8_8

Näppi, Janne J. ; Regge, Daniele ; Yoshida, Hiroyuki. / Ensemble detection of colorectal lesions for CT colonography. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7029 LNCS 2012. pp. 60-67 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Access to Document

10.1007/978-3-642-28557-8_8