A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy
Published in bioRxiv preprint, 2024
Recommended citation: Chen, J., Qian, L., Wang, P., Sun, C., Qin, T., Kalyanasundaram, A., Zafar, M., Elefteriades, J., Sun, W., & Liang, L. (2024). "A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy." bioRxiv. https://www.biorxiv.org/content/10.1101/2024.10.02.616348v2.abstract
Recommended citation: Chen, J., Qian, L., Wang, P., Sun, C., Qin, T., Kalyanasundaram, A., Zafar, M., Elefteriades, J., Sun, W., & Liang, L. (2024). “A 3D Image Segmentation Study of U-Net on CT Images of the Human Aorta with Morphologically Diverse Anatomy.” bioRxiv.
