A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment-论文-万方医学网

A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment

导出原文传递

翻译打印收藏纠错

作者： Zheng, Guowei ^[1] ; Zhang, Yu ^[2] ; Zhao, Ziyang ^[3] ; Wang, Yin ; Liu, Xia ; Shang, Yingying ; Cong, Zhaoyang ; Dimitriadis, Stavros I. ; Yao, Zhijun ; Hu, Bin

作者单位： Lanzhou University,Lanzhou Univ ^[1] Cardiff Univ Brain Res Imaging Ctr CUBR,Greek Assoc Alzheimers Dis & Related Disorders ^[2] Cardiff University,Cardiff Univ ^[3]

关键词 Mild cognitive impairment Magnetic resonance imaging Deep learning Transformer SURFACE-BASED ANALYSIS ALZHEIMERS-DISEASE FEATURE-SELECTION SEGMENTATION MCI CLASSIFICATION PROGRESSION

发布时间 2022-11-12

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment

相似文献

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

A transformer-based multi-features fusion model for prediction of conversion in mild cognitive impairment

相似文献

相关期刊

检索历史清除