Journal article
On Combining Computer-Aided Detection Systems
IEEE Transactions on Medical Imaging, Vol.30(2), pp.215-223
02/2011
DOI: 10.1109/TMI.2010.2072789
PMID: 20813633
Abstract
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.
Details
- Title: Subtitle
- On Combining Computer-Aided Detection Systems
- Creators
- Meindert Niemeijer - Image Sci. Inst., Univ. Med. Center Utrecht, Utrecht, NetherlandsMarco Loog - Pattern Recognition Lab., Delft Univ. of Technol., Delft, NetherlandsMichael David Abràmoff - Dept. of Ophthalmology & Visual Sci., Univ. of Iowa, Iowa City, IA, USAMax A Viergever - Image Sci. Inst., Univ. Med. Center Utrecht, Utrecht, NetherlandsMathias Prokop - Univ. Med. Center Utrecht, Utrecht, NetherlandsBram van Ginneken - Univ. Med. Center Utrecht, Utrecht, Netherlands
- Resource Type
- Journal article
- Publication Details
- IEEE Transactions on Medical Imaging, Vol.30(2), pp.215-223
- Publisher
- IEEE
- DOI
- 10.1109/TMI.2010.2072789
- PMID
- 20813633
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Language
- English
- Date published
- 02/2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806251602771
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