Difference between revisions of "ACRROSS"
Jump to navigation
Jump to search
| Line 3: | Line 3: | ||
{{TOCright}} | {{TOCright}} | ||
| − | Artifacts and Contrast Robust Representation for OCTA Semi-supervised Segmentation (ACRROSS) is a vessel segmentation algorithm for 2D en face OCTA images. It can handle scans captured from multiple devices. The associated publication is | + | Artifacts and Contrast Robust Representation for OCTA Semi-supervised Segmentation (ACRROSS) is a vessel segmentation algorithm for 2D en face OCTA images. It can handle scans captured from multiple devices. The associated publication is: |
| + | *{{pub|author = Yihao Liu, Aaron Carass, Lianrui Zuo, Yufan He, Shuo Han, Lorenzo Gregori, Sean Murray, Rohit Mishra, Jianqin Lei, Peter A. Calabresi, Shiv Saidha, Jerry L. Prince | title = [https://ieeexplore.ieee.org/abstract/document/9834971 Disentangled Representation Learning for OCTA Vessel Segmentation with Limited Training Data]}} | ||
If you have questions regarding the method or software, please contact [https://iacl.jhu.edu/index.php/Yihao Yihao Liu] | If you have questions regarding the method or software, please contact [https://iacl.jhu.edu/index.php/Yihao Yihao Liu] | ||
Revision as of 21:22, 27 November 2022
ACRROSS
Contents |
Artifacts and Contrast Robust Representation for OCTA Semi-supervised Segmentation (ACRROSS) is a vessel segmentation algorithm for 2D en face OCTA images. It can handle scans captured from multiple devices. The associated publication is:
- Yihao Liu, Aaron Carass, Lianrui Zuo, Yufan He, Shuo Han, Lorenzo Gregori, Sean Murray, Rohit Mishra, Jianqin Lei, Peter A. Calabresi, Shiv Saidha, Jerry L. Prince, "Disentangled Representation Learning for OCTA Vessel Segmentation with Limited Training Data", .
If you have questions regarding the method or software, please contact Yihao Liu
