Automatic segmentation of lung regions in chest radiographs: a model guided approach

In this paper, a knowledge-based, fully automatic method for identifying lung regions in digital chest radiographs is described. The method uses an object-oriented knowledge model to appropriately integrate the anatomical knowledge and image processing routines in lung detection. A series of chest radiographs are employed to test the proposed method; the experimental results are encouraging.

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