This survey report provides a comprehensive overview of the state-of-the-art techniques, technologies, and methodologies in the field of cervical spine fracture detection. Cervical spine fractures are a critical medical concern, often necessitating prompt and accurate diagnosis to ensure timely and appropriate treatment. This survey delves into the diverse array of imaging modalities, including conventional radiography, computed tomography (CT), magnetic resonance imaging (MRI), and emerging techniques such as 3D reconstruction and artificial intelligence (AI) applications. It examines the advantages and limitations of each approach, discusses current challenges, and explores promising trends in the ongoing quest to enhance the precision and efficiency of cervical spine fracture detection. The insights derived from this survey offer valuable guidance to researchers, healthcare professionals, and technologists working in the field of radiology, orthopedics, and medical imaging.

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Review on Cervical Spine Fracture Detection Using Deep Neural Networks

  • Sai Krishna Puni,
  • Srikanth Embadi,
  • Saiteja Karagalla,
  • Eliganti Ramalakshmi,
  • B. Veera Jyothi

摘要

This survey report provides a comprehensive overview of the state-of-the-art techniques, technologies, and methodologies in the field of cervical spine fracture detection. Cervical spine fractures are a critical medical concern, often necessitating prompt and accurate diagnosis to ensure timely and appropriate treatment. This survey delves into the diverse array of imaging modalities, including conventional radiography, computed tomography (CT), magnetic resonance imaging (MRI), and emerging techniques such as 3D reconstruction and artificial intelligence (AI) applications. It examines the advantages and limitations of each approach, discusses current challenges, and explores promising trends in the ongoing quest to enhance the precision and efficiency of cervical spine fracture detection. The insights derived from this survey offer valuable guidance to researchers, healthcare professionals, and technologists working in the field of radiology, orthopedics, and medical imaging.