INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Cervical spine fractures need time-consuming study by skilled radiologists, which might present problems for institutions with limited resources. They are a major concern in the area of radiology. Computer-aided diagnosis (CAD), which employs the cutting-edge imaging method of multi-detector CT, has grown in favor for identifying cervical spine fractures as a solution to this problem. To avoid neurologic degeneration and paralysis brought on by trauma, early detection of vertebral fractures is essential. In this study, we design and train a deep learning model to identify fractures in the cervical spine, both at the patient's overall level and at the level of specific vertebrae, using CT scan pictures. Our goal is to improve the model's performance in correctly diagnosing cervical spine fractures. The suggested deep learning model analyzes CT images and offers automated aid in fracture detection by utilizing cutting-edge methods and developments in computer vision. We demonstrate the efficiency of our model in localizing cervical spine fractures through thorough training and assessment on a variety of datasets, which can help radiologists with their diagnosis and expedite treatment planning. Reduced interpretation times, higher accuracy, and expanded accessibility to high-quality treatment are all possible advantages of this strategy, particularly in healthcare institutions with limited resources.
"A deep learning approach on cervical spine fracture detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d746-d751, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306377.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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