典型文献
Interactive Liver Segmentation Algorithm Based on Geodesic Distance and V-Net
文献摘要：
Convolutional neural networks(CNNs)are prone to mis-segmenting image data of the liver when the background is complicated,which results in low segmentation accuracy and unsuitable results for clinical use.To address this shortcoming,an interactive liver segmentation algorithm based on geodesic distance and V-net is proposed.The three-dimensional segmentation network V-net adequately considers the characteristics of the spatial context information to segment liver medical images and obtain preliminary segmentation results.An artificial algorithm based on geodesic distance is used to form artificial hard constraints to modify the image,and the superpixel piece created by the watershed algorithm is introduced as a sample point for operation,which significantly improves the efficiency of segmentation.Results from simulation of the liver tumor segmentation challenge(LiTS)dataset show that this algorithm can effectively refine the results of automatic liver segmentation,reduce user intervention,and enable a fast,interactive liver image segmentation that is convenient for doctors.
文献关键词：
中图分类号：
作者姓名：
KANG Jie;DING Jumin;LEI Tao;FENG Shujie;LIU Gang
作者机构：
School of Electrical and Control Engineering,Shaanxi University of Science&Technology,Xi'an 710021,China;School of Electrical Information and Artificial Intelligence,Shaanxi University of Science&Technology,Xi'an 710021,China
文献出处：
引用格式：
[1]KANG Jie;DING Jumin;LEI Tao;FENG Shujie;LIU Gang-.Interactive Liver Segmentation Algorithm Based on Geodesic Distance and V-Net)[J].上海交通大学学报（英文版）,2022(02):190-201
A类：
superpixel
B类：
Interactive,Liver,Segmentation,Algorithm,Based,Geodesic,Distance,Net,Convolutional,neural,networks,CNNs,are,prone,mis,segmenting,liver,when,background,complicated,which,results,low,segmentation,accuracy,unsuitable,clinical,To,address,this,shortcoming,interactive,algorithm,geodesic,distance,proposed,three,dimensional,adequately,considers,characteristics,spatial,context,information,medical,images,obtain,preliminary,An,artificial,used,hard,constraints,modify,piece,created,by,watershed,introduced,sample,point,operation,significantly,improves,efficiency,Results,from,simulation,tumor,challenge,LiTS,dataset,show,that,effectively,refine,automatic,reduce,user,intervention,enable,fast,convenient,doctors
AB值：
0.603275
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