Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification.

@article{Chen2011DevelopmentAE,
  title={Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification.},
  author={Sheng Chen and Kenji Suzuki and Heber MacMahon},
  journal={Medical physics},
  year={2011},
  volume={38 4},
  pages={1844-58}
}
PURPOSE To develop a computer-aided detection (CADe) scheme for nodules in chest radiographs (CXRs) with a high sensitivity and a low false-positive (FP) rate. METHODS The authors developed a CADe scheme consisting of five major steps, which were developed for improving the overall performance of CADe schemes. First, to segment the lung fields accurately, the authors developed a multisegment active shape model. Then, a two-stage nodule-enhancement technique was developed for improving the… CONTINUE READING

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Showing 1-10 of 14 references

Shiraishi et al . , “ Computer - aided diagnostic scheme for the detection of lung nodules on chest radiographs : Localized search method based on anatomical classification , ”

  • B. van Ginneken Schilham, M. Loog
  • Med . Phys .
  • 2006

The influence of structured noise on the detection of radiologic abnormalities

  • H. L. Kundel Revesz, M. A. Graber
  • American Cancer Society Textbook of Clinical…
  • 1995

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