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Computer-Assisted Analysis of Myelography
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Author(s): Rhythm Kulshrestha (Guru Gobind Singh Indraprastha University, India)
Copyright: 2025
Pages: 20
Source title:
Computer-Assisted Analysis for Digital Medicinal Imagery
Source Author(s)/Editor(s): Amit Sinha (ABES Engineering College, Ghaziabad, India), Pranshu Saxena (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India), Sanjay Kumar Singh (University School of Automation and Robotics,Guru Gobind Singh Indraprastha University, East Delhi, India)and Harikesh Singh (JSS Academy of Technical Education, Noida, India)
DOI: 10.4018/979-8-3693-5226-7.ch006
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Abstract
Myelography, dating back to the 1920s, injects contrast into the spinal canal to diagnose spinal conditions. Evolving with technology, it now utilizes CT and safer contrast agents. Still valuable, it aids in detecting CSF leaks, cervical root avulsion, and cases where MRI is impractical, providing dynamic imaging for precise diagnosis in specific clinical situations. Computer-assisted analysis plays a significant role in the field of myelography, where advanced technologies like machine learning, computer vision, and artificial intelligence (AI) are increasingly being integrated for enhanced image interpretation and diagnosis. These technologies offer the potential to revolutionize the way myelography is performed and analyzed, leading to improved patient care, disease detection and medical advancements.
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