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TableĀ 4 Comparison of the proposed method with the traditional methods

From: Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

Methods DSC (vs observer A) (%) DSC (vs observer B) Average DSC Self-adaptability
Iteration 95.40 95.22 95.31 83.33
Improved Ostu 95.35 95.18 95.27 83.68
Watershed 94.72 94.49 94.61 62.50
Region growing 96.65 96.50 96.58 91.32
Proposed method 96.80 96.62 96.71 100