Computer-aided lung nodule detection in chest radiography

  • Maria J. Carreira
  • Diego Cabello
  • Manuel G. Penedo
  • Jose M. Pardo
Session IA2b — Biomedical Imaging
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


Computer-aided diagnoses programs are developed for alerting the radiologist by indicating potential sites of lesions. One of the important tasks in the development of a computational system for detecting lung nodules is to diminish the number of false positives keeping on high sensitivities. In this work we describe a system for automatic lung nodule detection. The detection is carried out in several stages. First, a knowledge-based segmentation process delimits the lung boundaries. Then, a progressive thresholding of an image in which the conspicuity of nodules has been enhanced by means of filter matching and a set of growth and circularity tests fix the areas suspicious of being nodules into region previously labelled as lungs. Finally, these suspicious regions are confirmed as nodules in a new feature (curvature) space, which gives us an important help in the task of distinguishing true and false nodules from previously extracted suspicious regions. Preliminary results are very promising, achieving high sensitivities with a little ratio of false positives.


Lung Nodule Filter Match Suspicious Nodule Minimum Bound Rectangle Suspicious Region 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Maria J. Carreira
    • 1
  • Diego Cabello
    • 1
  • Manuel G. Penedo
    • 2
  • Jose M. Pardo
    • 1
  1. 1.Dept. Electrónica e ComputaciónFac. Física. Univ. Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Dept. ComputaciónFac. Informática. Univ. A CoruñaA CoruñaSpain

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