Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods.
- DOI
- 10.3390/bioengineering10070755
- Published
- 2023 Jun 24
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering10070755,
title = {Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods.},
author = {El-Melegy MT and Kamel RM and Abou El-Ghar M and Alghamdi NS and El-Baz A},
year = {2023},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering10070755},
url = {https://doi.org/10.3390/bioengineering10070755}
}RIS
TY - JOUR TI - Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods. AU - El-Melegy MT AU - Kamel RM AU - Abou El-Ghar M AU - Alghamdi NS AU - El-Baz A PY - 2023 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering10070755 UR - https://doi.org/10.3390/bioengineering10070755 ER -
APA
MT, E., RM, K., M, A. E., NS, A., & A, E. (2023). Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering10070755
Source records
- pubmed · retrieved 2026-11-10T05:35:30.609Z