Zhao, Z.; Higaki, T.; Gu, Y.; Raytchev, B.
The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans—A Preliminary Study. Bioengineering 2025, 12, 974.
https://doi.org/10.3390/bioengineering12090974
AMA Style
Zhao Z, Higaki T, Gu Y, Raytchev B.
The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans—A Preliminary Study. Bioengineering. 2025; 12(9):974.
https://doi.org/10.3390/bioengineering12090974
Chicago/Turabian Style
Zhao, Zuoyuan, Toru Higaki, Yanlei Gu, and Bisser Raytchev.
2025. "The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans—A Preliminary Study" Bioengineering 12, no. 9: 974.
https://doi.org/10.3390/bioengineering12090974
APA Style
Zhao, Z., Higaki, T., Gu, Y., & Raytchev, B.
(2025). The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans—A Preliminary Study. Bioengineering, 12(9), 974.
https://doi.org/10.3390/bioengineering12090974