Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography - researchr publication related

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Tomoki Uemura, Janne J. Näppi, Huimin Lu, Hyoungseop Kim, Rie Tachibana, Toru Hironaka, Hiroyuki Yoshida. Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography. In Kensaku Mori, Horst K. Hahn, editors, Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019. Volume 10950 of SPIE Proceedings, pages 1095013, SPIE, 2019. [doi]

The following publications are possibly variants of this publication:

Improved False Positive Reduction by Novel Morphological Features for Computer-Aided Polyp Detection in CT ColonographyYacheng Ren, Jingchen Ma, Junfeng Xiong, Yi Chen, Lin Lu, Jun Zhao 0010. titb, 23(1):324-333, 2019. [doi]

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