ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers and Special Section on Intelligent Healthcare Informatics: Volume 6 Issue 4, August 2015
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Computer-Aided Detection (CAD) of polyps in Computed Tomographic (CT) colonography is currently very limited since a single database at each hospital/institution doesn't provide sufficient data for training the CAD system's classification algorithm. To address this limitation, we propose to use multiple databases, (e.g., big data studies) to create multiple institution-wide ...
Computed tomographic colonography, distributed databases, group learning, kernel feature analysis