Abstract：Windowing technology is usually used to preprocess the image data during CT image segmentation.However,due to the inhomogeneity of the density between visceral tissue and lesion tissue,this method can not remove the invalid information completely and focus on the visceral and lesion.Inspired by the attention mechanism,this paper proposes a new CT image preprocessing method.First of all,the CT mask will be produced based on the probability distribution of the orgnization according to the labels from the experts′ experience.Then,after multiplying the mask cover back to the original CT image,a large number of low probability area information will be removed,so as to reduce the difficulty of network learning.In this paper,the production process of mask is described in detail,and three production methods are proposed.According to the characteristics of information loss caused by mask coverage,this paper also proposes a method of combining masking with initial segmentation results to compensate for the information loss caused by using masking.The method has compared with FCN,U-net and Segnet on LiTS and 3dircadb datasets,and the results shows that it has a good effect on CT image segmentation.
2022, Vol. 43 
