High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps
Published in IEEE ISBI, 2023
Recommended citation: Wei, Z., Dan, T., Ding, J., McCormick, C., Kyere, F. A., Kim, M., ... & Wu, G. (2023, April). High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5). IEEE. https://confcats-event-sessions.s3.amazonaws.com/isbi23/papers/paper_293.pdf
This paper is about 3D nuclei instance segmentation.
Recommended citation: Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn McCormick, Minjeong Kim, David Borland, Jason L. Stein, and Guorong Wu. “High Throughput Deep Model of 3D nucleus instance Segmentation by Stereo Stitching Contextual Gaps” In Proceedings of the IEEE International Symposium on Biomedical Imaging, 2023.
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