Poster
21 October 2024 Enhancing surgical precision and timelines: generative AI models for translating CARS imaging to H&E pseudo-staining
Anaya Bawiskar, Daniel S. Kermany, Raksha Raghunathan, Hong Zhao, Stephen T. Wong
Author Affiliations +
Proceedings Volume 13186, SPIE Translational Biophotonics + Additive Manufacturing for Photonics 2024; 131861U (2024) https://doi.org/10.1117/12.3049189
Event: SPIE Translational Biophotonics + Additive Manufacturing for Photonics, 2024, Houston, Texas, United States
Conference Poster
There is no online version at this time. The PDF is only available to people who have bought the paper or have a subscription.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Anaya Bawiskar, Daniel S. Kermany, Raksha Raghunathan, Hong Zhao, and Stephen T. Wong "Enhancing surgical precision and timelines: generative AI models for translating CARS imaging to H&E pseudo-staining", Proc. SPIE 13186, SPIE Translational Biophotonics + Additive Manufacturing for Photonics 2024, 131861U (21 October 2024); https://doi.org/10.1117/12.3049189
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
CARS tomography

Surgery

Artificial intelligence

Biopsy

Nervous system

Thyroid

Process modeling

Back to Top