iPEAR: Iterative Pyramid Estimation with Attention and Residuals for Deformable Medical Image Registration
iPEAR: 基于注意力和残差的迭代金字塔估计用于形变医学图像配准
机构 * College of Software, Jilin University(吉林大学软件学院) ; Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University(老年活跃生活卓越研究中⼼(NTU-UBC), 新加坡国立大学) ; College of Computer Science(计算机科学学院) ; Technology, Zhejiang University(技术, 浙江大学) ; Key Laboratory of Symbolic Computation(符号计算重点实验室) ; Knowledge Engineering of Ministry of Education, College of Computer Science(教育部知识工程重点实验室, 计算机科学学院) ; Technology, Jilin University(技术, 吉林大学) ; School of Artificial Intelligence, Beijing Normal University(北京师范大学人工智能学院)
AI总结 iPEAR通过融合注意力与残差模块和双阶段阈值控制迭代策略,提升医学图像配准的准确性和效率。