SLResNet: Neural-Network-Based End-to-End Structure Light 3D Reconstruction for Endoscope
Abstract
References
Index Terms
- SLResNet: Neural-Network-Based End-to-End Structure Light 3D Reconstruction for Endoscope
Recommendations
An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction
MM '22: Proceedings of the 30th ACM International Conference on MultimediaCraniofacial reconstruction is fundamental in resolving forensic cases. It is rather challenging due to the complex topology of the craniofacial model and the ambiguous relationship between a skull and the corresponding face. In this paper, we propose a ...
ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network
Machine Learning for Medical Image ReconstructionAbstractRecently, an end-to-end MR image reconstruction technique, called AUTOMAP, was introduced to simplify the complicated reconstruction process of MR image and to improve the quality of reconstructed MR images using deep learning. Despite the ...
A dual-domain neural network based on sinogram synthesis for sparse-view CT reconstruction
Highlights- To suppress or remove the streak artifacts in parse-view computed tomography (CT) images, a convolutional neural network is employed to synthesize the full-...
Abstract ObjectiveThe dual-domain deep learning-based reconstruction techniques have enjoyed many successful applications in the field of medical image reconstruction. Applying the analytical reconstruction based operator to ...
Comments
Information & Contributors
Information
Published In
- Conference Chairs:
- Jiman Hong,
- Maart Lanperne,
- Program Chairs:
- Juw Won Park,
- Tomas Cerny,
- Publication Chair:
- Hossain Shahriar
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Upcoming Conference
- Sponsor:
- sigapp
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 94Total Downloads
- Downloads (Last 12 months)49
- Downloads (Last 6 weeks)5
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in