Advertisement

Nodule Detection in Postero Anterior Chest Radiographs

  • Paola Campadelli
  • Elena Casiraghi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3217)

Abstract

The use of image processing techniques and Computer Aided Diagnosis (CAD) systems has proved to be effective for the improvement of radiologists’ diagnosis, especially in the case of lung nodules detection. In this paper we describe a method for processing Postero Anterior chest radiographs which extracts a set of nodule candidate regions characterized by low cardinality and high sensitivity ratio.

Keywords

True Positive Binary Image Image Processing Technique Circular Region Nodule Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    van Ginneken, B.: Computer-Aided Diagnosis, A.: in Chest Radiographs. P.h.D. dissertation, Utrecht Univ., Utrecht, The Nederlands (2001)Google Scholar
  2. 2.
    Kapur,Sahoo,Woong, A.: A new method for gray level picture thresholding using the entropy of the histogram. Comp. Vis. Grap. and Im. Proc. 29, 273–285 (1985)Google Scholar
  3. 3.
    Keserci, Bilgin Yoshida, Hiroyuki, A.: Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model. Med. Image Analisys, 6 431–447 (2002) Google Scholar
  4. 4.
    Schilham, A., Van Ginneken, B., Loog, M.: Multi-scale nodule detection in chest radiographs. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2878, pp. 602–609. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  5. 5.

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Paola Campadelli
    • 1
  • Elena Casiraghi
    • 1
  1. 1.Dipartimento di Scienze dell’InformazioneUniversitá degli Studi di Milano 

Personalised recommendations