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Table 2. Segmentation Result under Different Conditions
Without feature
images
With
feature
With feature images and the
lung outline correction
Condition
images
Overlap (%)
82.18
89.07
90.26
section, we will show the segmentation performance under three conditions: without
feature images, with feature images, with feature images and lung outline correction.
The segmentation results were given in Table
. Fig.1 shows the segmentation per-
formance of lung outline under the three conditions. As can be seen from the Fig.1,
the lung segmentation algorithm based on feature images and lung outline correction
proposed in this paper can obtain the optimal segmentation results.
(a)
(b)
(c)
Fig. 1. The Segmentation results without feature images and with feature images are shown in
(a) and (b), respectively. The final segmentation result with feature images and lung outline
correction is shown in (c).
 
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