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- W4386451331 abstract "The MRI spinal cord image-based injury detection is very complex in the current world. In this research, an advanced deep learning-based spinal injury detection algorithm has been proposed. The segmentation was performed with the Otsu technique. The feature extraction and training were performed with shape-based intensity parameters of nothing but standard deviation, variance, mean, and kurtosis. The testing can be possible with ResNet CNN technology. The classification has been performed through 167 layers of architecture. Finally, with confusion matrix accuracy of 98.43%, Recall97.34%, F 1 measure of 95.23%, and throughput of 96.76%." @default.
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- W4386451331 date "2023-05-19" @default.
- W4386451331 modified "2023-09-27" @default.
- W4386451331 title "MRI High Dimensional Data and Statistical Analysis on Spinal Cord Injury Detection" @default.
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- W4386451331 doi "https://doi.org/10.4018/978-1-6684-6971-2.ch008" @default.
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