Bone Deformity Identification Using Deep Learning
Paper Title: Bone Deformity Identification Using Deep Learning
Authors Name: Prof.Nikhat Fatima , Aejaz Khan , Bushra Amreen , Umaima Mahveen , Fazal Ur Raheman
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Author Reg. ID: TIJER_107688
Published Paper Id: TIJER2307100
Published In: Volume 10 Issue 7, July-2023
Abstract: The success of machine learning algorithms in medical imaging has increased the need for artificially trained models to make them work in the medical field more quickly and efficiently. This paper gives a technique to identify bone fracture using machine learning algorithms, by which workload for orthopedics can be reduced. The significant use of machine learning in this era of big medical data would help gather information from the available x-ray images rather than spending hours in the radiology departments. This paper presents imaging technologies used to identify bone fracture in the human body and give quick results once the x-ray has been taken.
Keywords: medical field, orthopaedics, machine learning, xray, bone fracture, image pixels, image soothing, edge detection, ridge regression, pickle library, image reshaping.
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Page No: 886-903
Country: Kalaburagi, Karanataka, India
Research Area: Science and Technology
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2307100
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2307100
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER(IJPublication)
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