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2021 | OriginalPaper | Chapter

Bone Fractured Detection Using Machine Learning and Digital Geometry

Authors : Ashish Sharma, Abhishek Mishra, Aashi Bansal, Achint Bansal

Published in: Mobile Radio Communications and 5G Networks

Publisher: Springer Singapore

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Abstract

The use of technology in the field of medical sciences has increased a lot since the last decade. Nowadays, you can see many technologies like computers and cameras used in medical sciences. They not only help in detecting the disease or the cause but also help in the curing process by maintaining records. The use of computers for image processing has provided an upper hand to the physicians. By using this technique, anybody can tell if there is a fracture in the bone or not. Fractures are common these days, so fracture detection is a crucial part of orthopedic X-ray image analysis. The automatic fracture detection technique helps the doctor to start medical care immediately. We propose a new technique using machine learning and digital geometry. The method can detect bone fractures by bone contours by removing discontinuity processed by segmentation. It overcomes the shortcoming of the previous method which only works on texture analysis. In this, several digital X-ray images are taken as input, and the machine will give the output whether there is a fracture or not based on particular algorithms.

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Metadata
Title
Bone Fractured Detection Using Machine Learning and Digital Geometry
Authors
Ashish Sharma
Abhishek Mishra
Aashi Bansal
Achint Bansal
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7130-5_28