Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Publication year
2010Author(s)
Source
Medical Image Analysis, 14, 6, (2010), pp. 707-22ISSN
Annotation
01 december 2010
Publication type
Article / Letter to editor

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Organization
Radiology
Journal title
Medical Image Analysis
Volume
vol. 14
Issue
iss. 6
Page start
p. 707
Page end
p. 22
Subject
ONCOL 5: Aetiology, screening and detectionAbstract
Numerous publications and commercial systems are available that deal with automatic detection of pulmonary nodules in thoracic computed tomography scans, but a comparative study where many systems are applied to the same data set has not yet been performed. This paper introduces ANODE09 ( http://anode09.isi.uu.nl), a database of 55 scans from a lung cancer screening program and a web-based framework for objective evaluation of nodule detection algorithms. Any team can upload results to facilitate benchmarking. The performance of six algorithms for which results are available are compared; five from academic groups and one commercially available system. A method to combine the output of multiple systems is proposed. Results show a substantial performance difference between algorithms, and demonstrate that combining the output of algorithms leads to marked performance improvements.
This item appears in the following Collection(s)
- Academic publications [202914]
- Electronic publications [101091]
- Faculty of Medical Sciences [80065]
- Open Access publications [69750]
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