• Santhosh T
• K. T. Veeramanju

Fractures result from the reduction in bone mass due to osteoporosis, a natural part of the aging process. The backbone can develop cracks when subjected to the strain of lifting heavy objects or experiencing a fall from a significant height. The spinal cord comprises the initial seven bones in the neck region. Fractures in this area can result in the loss of sensory functions or even prove fatal. Computed tomography (CT) plays a crucial role in identifying these fractures, influencing patient care. This review explores different methods essential for efficiently and effectively detecting cervical spine fractures, with a focus on the application of deep learning. The paper offers a concise overview of popular techniques for fracture detection, along with a comparative analysis of various classification methods applicable to this diagnostic process.

Cervical spine fracture Detection

"A Survey on fast Cervical Spine Fracture Detection Using Deep Learning Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e485-e490, January-2024, Available :http://www.jetir.org/papers/JETIR2401458.pdf

"A Survey on fast Cervical Spine Fracture Detection Using Deep Learning Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe485-e490, January-2024, Available at : http://www.jetir.org/papers/JETIR2401458.pdf