Bone fracture detection using machine learning

Millions of individuals all around the world suffer from bone fractures each year. Bone fractures must be quickly and accurately identified in order to receive the appropriate diagnosis and care. Every day, new, quickly developing technologies, notably in the medical field, are emerging. However, th...

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Bibliographic Details
Main Authors: Verma, Tushar, Garg, Vivek, Sharma, Arpit, Sengar, Abhinav Singh, Yadav, Shubhash Chandra
Format: Conference Proceeding
Language:English
Subjects:
Bones
Diagnosis
Fractures
Machine learning
Medical imaging
Online Access:Get full text
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Summary:Millions of individuals all around the world suffer from bone fractures each year. Bone fractures must be quickly and accurately identified in order to receive the appropriate diagnosis and care. Every day, new, quickly developing technologies, notably in the medical field, are emerging. However, there are also certain antiquated techniques that are still frequently employed and productive. Automated fracture diagnosis systems have grown in popularity as a result of improvements in medical imaging technology. One of these techniques is to identify broken bones using X-rays. However, occasionally the number of fractures may be insignificant and difficult to count. It is important to create systems that are both efficient and intelligent.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0198755