典型文献
Osteoporotic Vertebral Fracture Classification in X-rays Based on a Multi-modal Semantic Consistency Network
文献摘要：
Osteoporotic Vertebral Fracture(OVFs)is a common lumbar spine disorder that severely affects the health of patients.With a clear bone blocks boundary,CT images have gained obvious advantages in OVFs diagnosis.Compared with CT images,X-rays are faster and more inexpensive but often leads to misdiagnosis and miss-diagnosis because of the overlapping shadows.Considering how to transfer CT imaging advantages to achieve OVFs classification in X-rays is meaningful.For this purpose,we propose a multi-modal semantic consistency network which could do well X-ray OVFs classification by transferring CT semantic consistency features.Different from existing methods,we introduce a feature-level mix-up module to get the domain soft labels which helps the network reduce the domain offsets between CT and X-ray.In the meanwhile,the network uses a self-rotation pretext task on both CT and X-ray domains to enhance learning the high-level semantic invariant features.We employ five evaluation metrics to compare the proposed method with the state-of-the-art methods.The final results show that our method improves the best value of AUC from 86.32 to 92.16％.The results indicate that multi-modal semantic consistency method could use CT imaging features to improve osteoporotic vertebral fracture clas-sification in X-rays effectively.
文献关键词：
中图分类号：
作者姓名：
Yuzhao Wang;Tian Bai;Tong Li;Lan Huang
作者机构：
College of Computer Science and Technology,Jilin University,Changchun 130012,China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012,China;Department of Orthopedics,The Second Hospital of Jilin University,Changchun 130012,China
文献出处：
引用格式：
[1]Yuzhao Wang;Tian Bai;Tong Li;Lan Huang-.Osteoporotic Vertebral Fracture Classification in X-rays Based on a Multi-modal Semantic Consistency Network)[J].仿生工程学报（英文版）,2022(06):1816-1829
A类：
OVFs,pretext
B类：
Osteoporotic,Vertebral,Fracture,Classification,rays,Based,Multi,modal,Semantic,Consistency,Network,common,lumbar,spine,disorder,that,severely,affects,health,patients,With,clear,bone,blocks,boundary,images,have,gained,obvious,advantages,Compared,faster,more,inexpensive,but,often,leads,misdiagnosis,miss,because,overlapping,shadows,Considering,imaging,achieve,classification,meaningful,For,this,purpose,multi,semantic,consistency,network,which,could,well,by,transferring,features,Different,from,existing,methods,introduce,level,mix,up,module,get,soft,labels,helps,reduce,offsets,between,In,meanwhile,uses,self,rotation,task,both,domains,enhance,learning,high,invariant,We,employ,five,evaluation,metrics,compare,proposed,state,art,final,results,show,our,improves,best,value,indicate,osteoporotic,vertebral,fracture,effectively
AB值：
0.56573
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