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Publication year
2011Source
IEEE Transactions on Medical Imaging, 30, 2, (2011), pp. 215-23ISSN
Publication type
Article / Letter to editor

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Organization
Radiology
Journal title
IEEE Transactions on Medical Imaging
Volume
vol. 30
Issue
iss. 2
Page start
p. 215
Page end
p. 23
Subject
N4i 3: Poverty-related infectious diseases; NCEBP 14: Cardiovascular diseases; ONCOL 5: Aetiology, screening and detectionAbstract
Computer-aided detection (CAD) is increasingly used in clinical practice and for many applications a multitude of CAD systems have been developed. In practice, CAD systems have different strengths and weaknesses and it is therefore interesting to consider their combination. In this paper, we present generic methods to combine multiple CAD systems and investigate what kind of performance increase can be expected. Experimental results are presented using data from the ANODE09 and ROC09 online CAD challenges for the detection of pulmonary nodules in computed tomography scans and red lesions in retinal images, respectively. For both applications, combination results in a large and significant increase in performance when compared to the best individual CAD system.
This item appears in the following Collection(s)
- Academic publications [227881]
- Electronic publications [107344]
- Faculty of Medical Sciences [86219]
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