Abstract: Fracture is caused by a loss of bone mass (osteoporosis) that occurs as part of ageing. Lifting heavy- weighted things or falling from higher altitude will cause crack in back bone. Spinal cord is first seven bone of our neck region. Fracture in spinal cord may lead to loss of sensory functions or lead to death. These factures are suspected by computed tomography (CT) which is critical to patient management. This paper is a review on various methods required for detecting cervical spine fracture in a most efficient and effective manner using deep learning. It provides a brief description about the popular techniques available for detecting fracture and also gives comparison on various classification methods that can be used in the process.
Keywords: Medical imaging, Deep learning, Object detection, Classification, Cervical spine fracture, Convolutional Neural Network (CNN)
|
DOI:
10.17148/IJARCCE.2023.12320
