On combining computer-aided detection systems
until further notice
SourceIEEE Transactions on Medical Imaging, 30, 2, (2011), pp. 215-223
Article / Letter to editor
Display more detailsDisplay less details
IEEE Transactions on Medical Imaging
SubjectN4i 3: Poverty-related infectious diseases; NCEBP 14: Cardiovascular diseases; ONCOL 5: Aetiology, screening and detection
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.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.