A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.

Artha Wiguna IGLNA, Kristian Y, Deslivia MF, Limantara R, Cahyadi D, Liando IA, Hamzah HA, Kusuman K, Dimitri D, Anastasia M, Suyasa IK

Open source

DOI
10.1007/s00586-024-08464-7
Published
2024 Nov
Container
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1007/s00586-024-08464-7,
  title = {A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.},
  author = {Artha Wiguna IGLNA and Kristian Y and Deslivia MF and Limantara R and Cahyadi D and Liando IA and Hamzah HA and Kusuman K and Dimitri D and Anastasia M and Suyasa IK},
  year = {2024},
  journal = {European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society},
  doi = {10.1007/s00586-024-08464-7},
  url = {https://doi.org/10.1007/s00586-024-08464-7}
}

RIS

TY  - JOUR
TI  - A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.
AU  - Artha Wiguna IGLNA
AU  - Kristian Y
AU  - Deslivia MF
AU  - Limantara R
AU  - Cahyadi D
AU  - Liando IA
AU  - Hamzah HA
AU  - Kusuman K
AU  - Dimitri D
AU  - Anastasia M
AU  - Suyasa IK
PY  - 2024
JO  - European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
DO  - 10.1007/s00586-024-08464-7
UR  - https://doi.org/10.1007/s00586-024-08464-7
ER  - 

APA

IGLNA, A. W., Y, K., MF, D., R, L., D, C., IA, L., HA, H., K, K., D, D., M, A., & IK, S. (2024). A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society. https://doi.org/10.1007/s00586-024-08464-7

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