典型文献
Two-Stage Lesion Detection Approach Based on Dimension-Decomposition and 3D Context
文献摘要：
Lesion detection in Computed Tomography (CT) images is a challenging task in the field of computer-aided diagnosis.An important issue is to locate the area of lesion accurately.As a branch of Convolutional Neural Networks (CNNs),3D Context-Enhanced (3DCE) frameworks are designed to detect lesions on CT scans.The False Positives (FPs) detected in 3DCE frameworks are usually caused by inaccurate region proposals,which slow down the inference time.To solve the above problems,a new method is proposed,a dimension-decomposition region proposal network is integrated into 3DCE framework to improve the location accuracy in lesion detection.Without the restriction of "anchors" on ratios and scales,anchors are decomposed to independent "anchor strings".Anchor segments are dynamically combined in accordance with probability,and anchor strings with different lengths dynamically compose bounding boxes.Experiments show that the accurate region proposals generated by our model promote the sensitivity of FPs and spend less inference time compared with the current methods.
文献关键词：
中图分类号：
作者姓名：
Jiacheng Jiao;Haiwei Pan;Chunling Chen;Tao Jin;Yang Dong;Jingyi Chen
作者机构：
College of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China;School of Software,Tsinghua University,Beijing 100084,China
文献出处：
引用格式：
[1]Jiacheng Jiao;Haiwei Pan;Chunling Chen;Tao Jin;Yang Dong;Jingyi Chen-.Two-Stage Lesion Detection Approach Based on Dimension-Decomposition and 3D Context)[J].清华大学学报自然科学版（英文版）,2022(01):103-113
A类：
3DCE,Positives
B类：
Two,Stage,Lesion,Detection,Approach,Based,Dimension,Decomposition,Context,detection,Computed,Tomography,images,challenging,task,field,computer,aided,diagnosis,important,issue,locate,area,accurately,branch,Convolutional,Neural,Networks,CNNs,Enhanced,frameworks,designed,lesions,scans,False,FPs,detected,usually,caused,by,inaccurate,region,proposals,which,slow,down,inference,solve,above,problems,new,proposed,dimension,decomposition,network,integrated,into,improve,location,accuracy,Without,restriction,anchors,ratios,scales,decomposed,independent,strings,Anchor,segments,dynamically,combined,accordance,probability,different,lengths,bounding,boxes,Experiments,show,that,generated,our,model,promote,sensitivity,spend,less,compared,current,methods
AB值：
0.606359
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
