Pleural nodule identification in low-dose and thin-slice lung computed tomography

@article{Retico2009PleuralNI,
  title={Pleural nodule identification in low-dose and thin-slice lung computed tomography},
  author={Alessandra Retico and Maria Evelina Fantacci and Ilaria Gori and Parnian Kasae and Bruno Golosio and A. Piccioli and Piergiorgio Cerello and Giorgio De Nunzio and Sabina Sonia Tangaro},
  journal={Computers in biology and medicine},
  year={2009},
  volume={39 12},
  pages={
          1137-44
        }
}
A completely automated system for the identification of pleural nodules in low-dose and thin-slice computed tomography (CT) of the lung has been developed. The directional-gradient concentration method has been applied to the pleura surface and combined with a morphological opening-based procedure to generate a list of nodule candidates. Each nodule candidate is characterized by 12 morphological and textural features, which are analyzed by a rule-based filter and a neural classifier. This… CONTINUE READING

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Publications citing this paper.
SHOWING 1-10 OF 24 CITATIONS

Algorithms for automatic detection of lung nodules in CT scans

  • 2011 IEEE International Symposium on Medical Measurements and Applications
  • 2011
VIEW 5 EXCERPTS
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 23 REFERENCES

Cancer statistics, 2005.

  • CA: a cancer journal for clinicians
  • 2005
VIEW 1 EXCERPT

Screening for lung cancer with computed tomography: an examination of the evidence.

  • JAAPA : official journal of the American Academy of Physician Assistants
  • 2004

R

A. Micheli, P. Baili, M. Quinn, E. Mugno
  • Capocaccia and P. Grosclaude (The EUROCARE Working Group), “Life expectancy and cancer survival in the EUROCARE-3 cancer registry areas”, Ann. Oncol. 14(5), V28–V40
  • 2003
VIEW 1 EXCERPT

The EUROCARE Working Group ) , “ Life expectancy and cancer survival in the EUROCARE - 3 cancer registry areas ”

B. A. Miller, B. F. Hankey
  • Ann . Oncol .
  • 2003