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Four-fold cross-validation is completed on 63 PET/CT information sets. In each experiment, 10 information units tend to be selected arbitrarily for screening and the other 53 for training. The results reveal that individuals reach the average 77 percent Dice similarity coefficient rating with CS reduction function by trained DiSegNet, compared to set up a baseline method SegNet by cross-entropy (CE) with 71 percent Dice similarity