MRI High Dimensional Data and Statistical Analysis on Spinal Cord Injury Detection-Reference-Cited by-同舟云学术

MRI High Dimensional Data and Statistical Analysis on Spinal Cord Injury Detection

Published:2023-05-19 Issue: Volume: Page:131-144
ISSN:2327-0411
Container-title:Handbook of Research on Advancements in AI and IoT Convergence Technologies
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Author:

Uday Kiran K.¹,Kalpana Ella²,Nair Prabha Shreeraj³,Ahammad S. K. Hasane¹,Saikumar K.¹^ORCID

Affiliation:

1. Koneru Lakshmaiah Education Foundation, India

2. TTWRDC, India

3. S. B. Jain Institute of Technology Management and Research, India

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%.

Publisher

IGI Global

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