classification of medical xray images

Images are now widely deployed and used in most of the practical life fields; medical is one of the most significant and common ones. These images are on a great deal of importance since they reflect and include critical and significant information related to the several parts of the body. The incre

Project Title

classification of medical xray images

Project Area of Specialization

Computer Science

Project Summary

Images are now widely deployed and used in most of the practical life fields; medical is one of the most significant and common ones. These images are on a great deal of importance since they reflect and include critical and significant information related to the several parts of the body. The increasing amount of medical imaging data acquired in clinical practice constitutes a vast database of untapped diagnostically-relevant information, millions of images are acquired worldwide each year. Clinicians are struggling under the burden of diagnosis and follow up with an immense amount of images.
The amount of digital X-ray images that are produced in hospitals is increasing rapidly. Efficient storing, processing and classifying X-ray images have thus become very important. Due to the increase in medical digital images, there is a rising need to manage this data properly and accessing them accurately. To overcome this problem we will develop a system that will manage images and classify images in different classes. 

Project Objectives

There is an increase of digital information in the medical domain where medical images of different
modalities are produced every day in massive numbers. Medical imaging is a key component in
diagnosis and treatment planning. As medical image databases show a wealth of information, these
databases also bring problems in retrieving the desired images for specific information needs. So the main objective is to Introduce a System that can classify medical images in separate classes. 

the sub-objectives are:

• To collect data-set of Medical  X-ray images from publicly available sites 
• To classify data according to our requirement.
• To have maximum accuracy

Project Implementation Method

The aim of our method is to group digital X-ray images into different groups. The input to our method is a set of (1) label X-ray images from the labeled groups, (2) features extraction techniques and; (3) classifiers and ML algorithm. The output of our method is that to which class the inputted image belongs. This project will use simple basic steps and algorithms to classify the images into different groups or classes. Fig(1) represents the complete flowchart of the proposed method which is consist of 5 steps that are following

firstly, there will be a user interface, the user will log in or sign up, then he will add image the system will detect to which  category does it belong and then will ask to save it or not, if yes, then it will be stored to the user's database if not then it will end up the process

Benefits of the Project

In this digital era, the most difficult thing is to manage the data, so the first and the main benefit in the field of medical sciences will be of managed data. you can store and retrieve your data easily. you can retrieve images by a simple query.

Everyone with the account will have there own databases and secured accounts.

Technical Details of Final Deliverable

As the project focuses on the system of retrieving and saving in the medical x-ray images so that everyone especially the low-level diagnostic centres in the small towns, can use it easily we will develop a desktop app with simple functions so that the user can understand it easily

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Medical

Other Industries

Core Technology

Others

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com