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

Artha Wiguna, I. Gusti Lanang Ngurah Agung; Kristian, Yosi; Deslivia, Maria Florencia; Limantara, Rudi; Cahyadi, David; Liando, Ivan Alexander; Hamzah, Hendra Aryudi; Kusuman, Kevin; Dimitri, Dominicus; Anastasia, Maria; Suyasa, I. Ketut

doi:10.1007/s00586-024-08464-7

Eur Spine J

2024

DOI: 10.1007/s00586-024-08464-7

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

I. Gusti Lanang Ngurah Agung Artha Wiguna,

Yosi Kristian,

Maria Florencia Deslivia

et al.

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Using Artificial Intelligence in the Comprehensive Management of Spinal Cord Injury

Kim,

Jeong,

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Korean J Neurotrauma

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

Cited by 1 publication

References 38 publications

Using Artificial Intelligence in the Comprehensive Management of Spinal Cord Injury

Using Artificial Intelligence in the Comprehensive Management of Spinal Cord Injury

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