Bi-Fusion of Structure and Deformation at Multi-Scale for Joint Segmentation and Registration-Reference-Cited by-同舟云学术

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Bi-Fusion of Structure and Deformation at Multi-Scale for Joint Segmentation and Registration

Published:2024 Issue: Volume:33 Page:3676-3691
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Jiaju¹^ORCID,Fu Tianyu²^ORCID,Xiao Deqiang¹^ORCID,Fan Jingfan¹^ORCID,Song Hong³^ORCID,Ai Danni¹^ORCID,Yang Jian¹^ORCID

Affiliation:

1. Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China

2. School of Medical Technology, Beijing Institute of Technology, Beijing, China

3. School of Computer Science, Beijing Institute of Technology, Beijing, China

Funder

National Key Research and Development Program of China

National Science Foundation Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/83/10346232/10550146.pdf?arnumber=10550146

Reference49 articles.

1. A partial augmented reality system with live ultrasound and registered preoperative MRI for guiding robot-assisted radical prostatectomy

2. How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules

3. Current and Emerging Trends in Medical Image Segmentation With Deep Learning

4. Implicit Neural Representation in Medical Imaging: A Comparative Survey

5. Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints

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