Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices.
- DOI
- 10.1038/s41598-023-42000-9
- Published
- 2023 Sep 30
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-42000-9,
title = {Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices.},
author = {Song Z and Asiedu M and Wang S and Li Q and Ozturk A and Mittal V and Schoen S Jr and Ramaswamy S and Pierce TT and Samir AE and Eldar YC and Chandrakasan A and Kumar V},
year = {2023},
journal = {Scientific reports},
doi = {10.1038/s41598-023-42000-9},
url = {https://doi.org/10.1038/s41598-023-42000-9}
}RIS
TY - JOUR TI - Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices. AU - Song Z AU - Asiedu M AU - Wang S AU - Li Q AU - Ozturk A AU - Mittal V AU - Schoen S Jr AU - Ramaswamy S AU - Pierce TT AU - Samir AE AU - Eldar YC AU - Chandrakasan A AU - Kumar V PY - 2023 JO - Scientific reports DO - 10.1038/s41598-023-42000-9 UR - https://doi.org/10.1038/s41598-023-42000-9 ER -
APA
Z, S., M, A., S, W., Q, L., A, O., V, M., Jr, S. S., S, R., TT, P., AE, S., YC, E., A, C., & V, K. (2023). Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices.. Scientific reports. https://doi.org/10.1038/s41598-023-42000-9
Source records
- pubmed · retrieved 2026-09-26T21:04:03.198Z