The following publications are possibly variants of this publication:
- Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trialKenji Suzuki, Mark Epstein, Ivan Sheu, Ryan Kohlbrenner, Don C. Rockey, Abraham H. Dachman. isbi 2008: 684-687 [doi]
- Evaluation of the effect of CAD on observers performance in detection of polyps in CT colonographyA. Okamura, Abraham H. Dachman, N. Parsad, Janne Näppi, Hiroyuki Yoshida. cars 2004: 989-992
- New high-performance CAD scheme for the detection of polyps in CT colonographyJanne Näppi, Hans Frimmel, Abraham H. Dachman, Hiroyuki Yoshida. miip 2004: [doi]
- A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: preliminary resultsKenji Suzuki, Ivan Sheu, Don C. Rockey, Abraham H. Dachman. micad 2009: [doi]
- Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT ColonographyKenji Suzuki. miccai 2011: 32-39 [doi]