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

Author:

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

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

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enterprise Support Hierarchical Model with Secure Data Protocol;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. A Dynamic Approach to Cyber Risk Assessment for Critical Information Infrastructure;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3