Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network-Reference-Cited by-同舟云学术

Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network

Published:2022-09 Issue:9 Volume:41 Page:2414-2431
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Ge Lin¹^ORCID,Wei Xingyue¹^ORCID,Hao Yayu¹,Luo Jianwen¹^ORCID,Xu Yan²

Affiliation:

1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China

2. State Key Laboratory of Software Development Environment and the Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Research Institute of Beihang University, Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation in China

Fundamental Research Funds for the Central Universities of China from the State Key Laboratory of Software Development Environment, Beihang University, China

111 Project in China

Beijing Hope Run Special Fund of Cancer Foundation of China

High Performance Computing (HPC) Resources at Beihang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9872156/09745959.pdf?arnumber=9745959

Reference68 articles.

1. Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation

2. Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration