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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) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Bone Fracture Detection Using Convolutional Neural Networks |
| Authors Name: | Arnim Roopansh Goyal , Ansh Mehta , Harsh Goel |
| Download E-Certificate: | Download |
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IJNRD_219565
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| Published Paper Id: | IJNRD2404784 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
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| 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 |
| Downloads: | 00031 |
| 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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Published Paper ID:IJNRD2404784 Registration ID: 219565 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: h765-h774 Country: Ghaziabad, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404784 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404784 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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