Abstract:
The objective of this project is to develop x-ray image analyzer software for the
classification of fracture in bones. This report explores different, techniques used in
the classification of fracture. Different stages involving in the project will be studied
and discussed. Finally the end product will be written in the software called
Anaconda python.'
X-ray is capture for many reasons to diagnose the disease. Therefore the
diagnosis of bone fracture is an important aspect to the doctors in medical field. For
this purpose digital x-ray images help to provide appropriate treatment. Normally X ray images are used for bone fracture analysis. The aim ofthis project is to develop a
digital x-ray image analyzer based on image processing system which gives a quick
and accurate classification of the fracture based on the information gained from the
digital x-ray images which are saved in computer. For this purpose we have used the
accurate
datasets ofthe two bones i.e.: fingers and elbow.
Using the Deep learning tool we can classify the images and analyzes the results
found from that classification using Convolutional Neural Network and Faster
RCNN algorithm
