A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond

J Chen, Y Liu, S Wei, Z Bian, S Subramanian… - arXiv preprint arXiv …, 2023 - arxiv.org
Over the past decade, deep learning technologies have greatly advanced the field of
medical image registration. The initial developments, such as ResNet-based and U-Net …

Robotic needle insertion with 2d ultrasound–3d ct fusion guidance

L Lei, B Zhao, X Qi, R Mi, H Ye, P Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Puncture robots pave a new way for stable, accurate and safe percutaneous liver tumor
puncture operation. However, affected by respiratory motion, intraoperative accurate …

A Review of Image Processing Methods in Prostate Ultrasound

H Wang, H Wu, Z Wang, P Yue, D Ni, PA Heng… - arXiv preprint arXiv …, 2024 - arxiv.org
Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …

MatchMorph: A real-time pre-and intra-operative deformable image registration framework for MRI-guided surgery

X Bai, H Wang, Y Qin, J Han, N Yu - Computers in Biology and Medicine, 2024 - Elsevier
Purpose The technological advancements in surgical robots compatible with magnetic
resonance imaging (MRI) have created an indispensable demand for real-time deformable …

3D-2D Medical Image Registration Technology and Its Application Development: a Survey

H Xiao - Proceedings of the 2023 4th International Symposium …, 2023 - dl.acm.org
Due to the lack of spatial topology information in 2D medical images, doctors cannot
accurately identify tissues in patients during clinical diagnosis and treatment. 3D medical …