Publications by authors named "Hendra Aryudi Hamzah"
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 Rudi Limantara David Cahyadi Hendra Aryudi Hamzah
Eur Spine J
November 2024
Article Synopsis
- The study investigated the use of deep learning techniques to assess the severity of cervical spinal cord injuries (SCI) from MRI scans, addressing limitations in the standard assessment method (ASIA Impairment Scale).
- Patients with cervical SCI from 2019 to 2022 had their MRI images labeled by physicians, and a deep convolutional neural network was trained for image segmentation and classification.
- The model demonstrated high accuracy, achieving impressive Dice and IoU scores for spinal cord segmentation and a decent F1 score for classification, indicating potential for more advanced predictive models in future research.