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- research-articleMarch 2017
Heterogeneous data analysis: Online learning for medical-image-based diagnosis
Pattern Recognition (PATT), Volume 63, Issue CPages 612–624https://doi.org/10.1016/j.patcog.2016.09.035AbstractHeterogeneous Data Analysis (HDA) is proposed to address a learning problem of medical image databases of Computed Tomographic Colonography (CTC). The databases are generated from clinical CTC images using a Computer-aided Detection (...
Highlights- Proposes a method of Online Principal Composite Kernel Feature Analysis.
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- research-articleJuly 2015
Smart Colonography for Distributed Medical Databases with Group Kernel Feature Analysis
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 6, Issue 4Article No.: 58, Pages 1–24https://doi.org/10.1145/2668136Computer-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 ...
- articleAugust 2010
On-line versus off-line accelerated kernel feature analysis: Application to computer-aided detection of polyps in CT colonography
Signal Processing (SIGN), Volume 90, Issue 8Pages 2456–2467https://doi.org/10.1016/j.sigpro.2009.07.004A semi-supervised learning method, the on-line accelerated kernel feature analysis (On-line AKFA) is presented. In On-line AKFA, features are extracted while data are being fed to the algorithm in small batches as the algorithm proceeds. The paper ...
- articleJuly 2010
Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets
Pattern Recognition Letters (PTRL), Volume 31, Issue 9Pages 876–883https://doi.org/10.1016/j.patrec.2010.01.012Colon cancer is the second major cause of cancer related deaths in industrial nations. Computed tomographic colonography (CTC) has emerged in the last decade as a new less invasive colon diagnostic alternative to the usually practiced optical ...