Automatic Detection and Segmentation of Lymph Nodes From CT Data

@article{Barbu2012AutomaticDA,
  title={Automatic Detection and Segmentation of Lymph Nodes From CT Data},
  author={Adrian Barbu and Michael S{\"u}hling and Xun Xu and David Liu and Shaohua Kevin Zhou and Dorin Comaniciu},
  journal={IEEE Transactions on Medical Imaging},
  year={2012},
  volume={31},
  pages={240-250}
}
Lymph nodes are assessed routinely in clinical practice and their size is followed throughout radiation or chemotherapy to monitor the effectiveness of cancer treatment. This paper presents a robust learning-based method for automatic detection and segmentation of solid lymph nodes from CT data, with the following contributions. First, it presents a learning based approach to solid lymph node detection that relies on marginal space learning to achieve great speedup with virtually no loss in… CONTINUE READING

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