-

快速检索

署名顺序

ESI高水平论文

聚类工具模块

结果分析中...

成果/Result

已选条件:
  • 收录类型=SCI-EXPANDEDx
  • 人物=杨金龙x

4 条 记 录,以下是 1-4

视图:
排序方式:
共1页<< <1> >>每页显示条目数:
1RUnT: A Network Combining Residual U-Net and Transformer for Vertebral Edge Feature Fusion Constrained Spine CT Image Segmentation被引量:6收藏 分享
作者:Xu, Hao Cui, Xinxin Li, Chaofan Tian, Zhenyu Liu, Jing
机构:Gansu Univ Tradit Chinese Med;Nanjing Med Univ;Orthoped Traumatol Hosp
来源:IEEE ACCESS  2023年11卷
JCR:二分区
影响因子:3.4
关键词:Spinal vertebral segmentation   vision transformer   residual U-net   vertebral edge segmentation  
2Pin1: Advances in pancreatic cancer therapeutic potential and inhibitors research被引量:2收藏 分享
作者:Wang, Nan Chai, Tian Wang, Xing-Rong Zheng, Yi-Dan Sang, Chun-Yan
机构:Gansu Univ Chinese Med;Chinese Acad Sci;Chinese Acad Sci
来源:BIOORGANIC CHEMISTRY  2024年153卷
JCR:一分区
影响因子:5.307
关键词:Pancreatic cancer   Peptidyl-prolyl cis/trans isomerase NIMA-   interaction 1   Tumor microenvironment   Hypoxic microenvironment   Pin1 inhibitors  
3Multi-Scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae From MRI被引量:1收藏 分享
作者:Liu, Jing Zhou, Yuee Cui, Xinxin Jin, Fengqing Suo, Guodong
机构:Gansu Univ Tradit Chinese Med;Orthoped Traumatol Hosp
来源:IEEE ACCESS  2024年12卷
JCR:二分区
影响因子:3.476
关键词:Spine   Image segmentation   Magnetic resonance imaging   Location awareness   Feature extraction   Three-dimensional displays   Solid modeling   Lumbar spine segmentation   convolutional neural network   vertebral bone boundary segmentation   hybrid attention mechanism  
4Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration被引量:0收藏 分享
作者:Cui, Xinxin Zhou, Yuee Wei, Caihong Suo, Guodong Jin, Fengqing
机构:Gansu Univ Tradit Chinese Med;Fujian Univ Tradit Chinese Med
来源:SCIENTIFIC REPORTS  2025年15卷1期
JCR:二分区
影响因子:4.997
关键词:Enhanced pyramid encoder   Convolution iterative optimization   Transformer   Brain MRI  
已选条目 检索报告 聚类工具

版权所有©甘肃中医药大学 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心