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Bone Images Analysis System for Fracture Detection

In Stock

600.00$

Abstract/Introduction
Medical imaging to analyze and detect different diseases and problems now a day an emerging field.
In this project we will design automated techniques and methods to analyze and detect bone fracture
from X-ray images. X-ray images when examined manually it is time consuming and prone to errors.
So our proposed system is able to detect fracture more accurately. images are a crucial resource for
assessing the severity and prediction of bone injuries caused by trauma or accident. Fracture
detection in long bones is a very challenging task due to the limited resolution of the original X-Ray
images, as well as the complexity of bone structures and their possible fractures. So our proposed
automated bone fracture detection system will work on these aspects.
Functional Requirements:
The system should have the following features:
• Image Datasets are maintained.
• Image is selected for examine.
• Image is shown as real image and then focused or noise removed image
• Noise is removed from the image and image is transformed to clearer image so that system
can easily detect fracture
• Clearer image is used to detect fracture
• System detects fracture based on the type of fracture. major fracture 2. Minor fracture 3.
Dislocation etc

• System display the bounding box around the fracture.
• Number of cracks are displayed on screen
• Dislocation is measured
• Bone high and width is measured
• System save the image with all these diagnosis for further usage.
Tools & Technologies Preferred tool and technology
Python
Hardware:
• i3 Processor
• Operating system: Windows 7 and above
• http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6726590&url=http%3A%2F%2Fieeex
plore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6726590

Technology

Python

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