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)
Bone fractures are the major and common issues faced by many people. These fractures often occur
during accidents. To predict these fractures doctors are using x-rays. Sometimes it is difficult to predict whether
it is fractured or not through the xrays manually. These x-rays show a clear picture of the damage but the main
issue is that some physicians are overlooking the small fractures which may cause a lot of damage in the future
to that particular person. Model which analyses and classifies the images of hand, leg, chest, fingers and wrist
fractures in a clear way. There are many other techniques to detect these fractures and this project is molded by
using some artificial intelligence applications using machine learning and deep learning techniques. This project
investigates specifically various models dependent on Convolutional Neural Networks which helps us to provide
a better solution as it is a step-by-step process of image analyzing algorithm to predict whether the bone is
fractured or normal. By comparing 3 types of CNN models which are ConvNet/CNN, VGG16 & R-CNN with
the same image dataset, R-CNN gave the best accuracy.
Keywords:
Cite Article:
"Bone Fracture Detection Using Convolutional Neural Networks", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h765-h774, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404784.pdf
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ISSN:
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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