End-to-End Lung Nodule Detection in Computed Tomography

@inproceedings{Wu2017EndtoEndLN,
  title={End-to-End Lung Nodule Detection in Computed Tomography},
  author={Dufan Wu and Kyungsang Kim and Bin Dong and Georges El Fakhri and Quanzheng Li},
  booktitle={MLMI@MICCAI},
  year={2017}
}
Computer aided diagnostic (CAD) system is crucial for modern medical imaging. But almost all CAD systems operate on reconstructed images, which were optimized for radiologists. Computer vision can capture features that is subtle to human observers, so it is desirable to design a CAD system operating on the raw data. In this paper, we proposed a deep-neural-network-based detection system for lung nodule detection in computed tomography (CT). A primal-dual-type deep reconstruction network was… 

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