Difference between revisions of "ACRROSS"

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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 currently under review.
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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:
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*{{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:

If you have questions regarding the method or software, please contact Yihao Liu