Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes.
- DOI
- 10.3389/fmed.2023.1330218
- Published
- 2023
- Container
- Frontiers in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2023.1330218,
title = {Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes.},
author = {Rauf F and Khan MA and Bashir AK and Jabeen K and Hamza A and Alzahrani AI and Alalwan N and Masood A},
year = {2023},
journal = {Frontiers in medicine},
doi = {10.3389/fmed.2023.1330218},
url = {https://doi.org/10.3389/fmed.2023.1330218}
}RIS
TY - JOUR TI - Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes. AU - Rauf F AU - Khan MA AU - Bashir AK AU - Jabeen K AU - Hamza A AU - Alzahrani AI AU - Alalwan N AU - Masood A PY - 2023 JO - Frontiers in medicine DO - 10.3389/fmed.2023.1330218 UR - https://doi.org/10.3389/fmed.2023.1330218 ER -
APA
F, R., MA, K., AK, B., K, J., A, H., AI, A., N, A., & A, M. (2023). Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes.. Frontiers in medicine. https://doi.org/10.3389/fmed.2023.1330218
Source records
- pubmed · retrieved 2026-09-25T14:38:17.468Z