However, when applied to the segmentation of serial CT liver images, it does not work well. In this paper, FCNN is improved to be the novel neural network — ...
Objective: To achieve better boundary integrities and recall accuracies for segmented liver images, use of the advanced fuzzy cellular neural network (AFCNN), ...
Missing: Serial | Show results with:Serial
An advanced fuzzy cellular neural network (AFCNN) suitable for segmenting liver images is presented here. Its global stability is proved. The experimental ...
AFCNN has the distinctive advantage over FCNN: it can keep boundary integrity better and have better recall accuracies such that the segmented images can ...
When applied to segment serial CT liver images, AFCNN has the distinctive advantage over FCNN: it can keep boundary integrity better and have better recall ...
When applied to seg- ment serial CT liver images, AFCNN has the distinctive advantage over FCNN: it can keep boundary integrity better and have better recall ...
Jul 17, 2017 · Bibliographic details on Applying Advanced Fuzzy Cellular Neural Network AFCNN to Segmentation of Serial CT Liver Images.
Applying advanced fuzzy cellular neural network AFCNN to segmentation of serial CT liver images. Author: SHITONG WANG1 2 ; DUAN FU1 ; MIN XU1 ; DEWEN HU3
Jan 1, 2007 · To achieve better boundary integrities and recall accuracies for segmented liver images, use of the advanced fuzzy cellular neural network ...
Missing: Serial | Show results with:Serial
To achieve better boundary integrities and recall accuracies for segmented liver images, use of the advanced fuzzy cellular neural network (AFCNN), as a variant ...