Effective 3D object detection and regression using probabilistic segmentation features in CT images

Abstract

3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose effective image segmentation features and a novel multiple instance regression method for solving the above challenges. We perform supervised learning based segmentation algorithm… (More)
DOI: 10.1109/CVPR.2011.5995359

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Cite this paper

@article{Lu2011Effective3O, title={Effective 3D object detection and regression using probabilistic segmentation features in CT images}, author={Le Lu and Jinbo Bi and Matthias Wolf and Marcos Salganicoff}, journal={CVPR 2011}, year={2011}, pages={1049-1056} }