Advances towards Intelligent Computer-Assisted Interventions: From Medical Imaging to Surgical Robotics
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 422
Special Issue Editors
Interests: medical robotics; point set registration; medical image registration; medical image segmentation; surgical navigation
Special Issue Information
Dear Colleagues,
Over the past decade, artificial intelligence and robotics have instigated enormous changes to human societies and research fields. Intelligent and further automated robotic surgery is a promising research area that attracts more and more attention among researchers, due to its potential high accuracy and safety. However, there are still many theoretical and technical challenges in achieving this ultimate goal, including the accurate and fast diagnosis of the surgical organ/target, safe and fast pre-operative surgical planning, accurate and fast information fusion, robot/AR device calibration, etc.
This Special Issue therefore aims to collate both original research and review articles on recent advances in the theories, methodologies, and applications pertaining to fields of computer-assisted interventions. Both classical and deep-learning-based methods in fields of medical imaging and surgical robotics are welcomed.
Potential topics include, but are not limited to, the following:
- Medical image segmentation;
- Object detection in medical images;
- Medical image registration/fusion;
- Uncertainty modelling for medical imaging;
- 2D/3D point cloud registration;
- Hand-eye calibration algorithms;
- X+Reality for computer-assisted intervention;
- Surgical robotics;
- Automated surgical instrument detection/segmentation;
- Automated surgical phase recognition;
- Advanced deep learning methods/theories for medical imaging.
Dr. Zhe Min
Dr. Jie Luo
Guest Editors
Manuscript Submission Information
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Keywords
- medical imaging
- computer-assisted intervention
- registration
- segmentation
- deep learning
- surgical robotics
