Version 1
: Received: 7 May 2024 / Approved: 8 May 2024 / Online: 8 May 2024 (08:15:49 CEST)
How to cite:
Yang, H.; Kim, E. R.; Rieu, Z.; Kim, D.; Sohn, B.; Lee, M. A Novel Landmark-Based Semi-Supervised Deep Learning Method for Aneurysm Detection Using 3D TOF-MRA. Preprints2024, 2024050485. https://doi.org/10.20944/preprints202405.0485.v1
Yang, H.; Kim, E. R.; Rieu, Z.; Kim, D.; Sohn, B.; Lee, M. A Novel Landmark-Based Semi-Supervised Deep Learning Method for Aneurysm Detection Using 3D TOF-MRA. Preprints 2024, 2024050485. https://doi.org/10.20944/preprints202405.0485.v1
Yang, H.; Kim, E. R.; Rieu, Z.; Kim, D.; Sohn, B.; Lee, M. A Novel Landmark-Based Semi-Supervised Deep Learning Method for Aneurysm Detection Using 3D TOF-MRA. Preprints2024, 2024050485. https://doi.org/10.20944/preprints202405.0485.v1
APA Style
Yang, H., Kim, E. R., Rieu, Z., Kim, D., Sohn, B., & Lee, M. (2024). A Novel Landmark-Based Semi-Supervised Deep Learning Method for Aneurysm Detection Using 3D TOF-MRA. Preprints. https://doi.org/10.20944/preprints202405.0485.v1
Chicago/Turabian Style
Yang, H., Beomseok Sohn and Minho Lee. 2024 "A Novel Landmark-Based Semi-Supervised Deep Learning Method for Aneurysm Detection Using 3D TOF-MRA" Preprints. https://doi.org/10.20944/preprints202405.0485.v1
Abstract
This study presents a novel semi-supervised deep learning method utilizing 3D TOF-MRA images for the detection of brain aneurysms, employing landmark-based techniques that mimic radiologist practices to enhance detection accuracy and efficiency.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
