This research employs a ResNet-34 convolutional neural network (CNN) model to evaluate the presence of CS in patients, utilizing cervical spine X-ray imaging ...
Aug 2, 2024 · Radiographs of the cervical spine were used as input images to develop a CNN-based DL algorithm. The CNN algorithm used 3 radiographs (neutral, ...
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The increase in Cervical Spondylosis cases and the expansion of the affected demographic to younger patients have escalated the demand for X-ray screening.
The increase in Cervical Spondylosis cases and the expansion of the affected demographic to younger patients have escalated the demand for X-ray screening.
Apr 20, 2022 · This study aimed to develop a CNN using lateral cervical spine radiograph to detect cervical spondylotic myelopathy (CSM).
Validation of the model was performed on an independent set of 136 X-ray images, also varied in projection angles, to ensure its efficacy across diverse ...
Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images. Sensors 2024, 24, 3428. https://doi.org/10.3390/s24113428. AMA Style.
A deep learning approach utilizing a ResNet-34 convolutional neural network, trained on a comprehensive dataset of 1235 cervical spine X-ray images ...
This article provides an overview of the methods for research on computer aided imaging diagnostics of the cervical spine.