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The classification of the region growing algorithm was more consistent than the expert classification throughout the study area.
At the region level, a region growing algorithm is applied.
Nevertheless, this part can also be conducted in full 3D version of the region growing algorithm.
These potential lesion voxels are the seed points for the region growing algorithm.
A region growing algorithm was applied to collect the connected voxels.
Segmented lung volume by expert (red) and interactive region growing algorithm (white) were overlaid for qualitative assessment.
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The method is mass conservative and uses a hydraulic 1D approach within the channel and a pseudo region-growing algorithm on the floodplain.
This is the first time that FCM clustering and vesselness filter are incorporated in the seeded region-growing algorithm.
Then, the potential lesion voxels are detected and used as the initial seed points for the seeded region-growing algorithm.
The performance of the proposed CAD system is evaluated using different criteria for the seeded region-growing algorithm.
In this study, an automated version of the seeded region-growing algorithm is performed for choosing the parameters.
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