BRAIN TUMOR DETECTION SYSTEM

Brain tumor at early stage is very difficult task for doctors to identify. MRI images are more prone to noise and other environmental interference. So it becomes difficult for doctors to identify tumor and their causes. So here we come up with the system, where system will detect brain tumor from im

Project Title

BRAIN TUMOR DETECTION SYSTEM

Project Area of Specialization

Artificial Intelligence

Project Summary

Brain tumor at early stage is very difficult task for doctors to identify. MRI images are more prone to noise and other environmental interference. So it becomes difficult for doctors to identify tumor and their causes. So here we come up with the system, where system will detect brain tumor from images. Here we convert image into grayscale image to classify the images into normal and abnormal image. In abnormal image we will clarify the abnormal part of brain which has tumor. In order to make the processing easy and efficient powerful hardware devices hard disk and instruments will be utilized , powerful Graphic Processing Unit card (GPU) will be utilized. The developed system will be tested on real images obtained from authentic and authorized sources

Project Objectives

1. The proposed work is to overcome the existing system.
2. This system detects the tumor from the MRI images through image processing method and that includes some techniques.
3. Those techniques are the modules of the project.

   MODULES

4. Image acquisition.
5. Model development (CNN).
6. Model Training.
7. Model Testing.
8. Model Application.. 

Project Implementation Method

In  this  Project,  we will be implemented  an  automated system for brain tumor detection Tumor segmentation from MRI data, it is an important but time-consuming and   difficult   task    often        performed manually by medical experts. Radiologists and other medical experts spend a substantial amount     of time segmenting medical images. However, accurately labelling brain tumor is   a very  time-consuming  task,    and considerable variation is observed between doctors. After acquisition MRI images we have to focus on tumor only for that we need to extract the exact brain tissues for that we have performed the skull removing process in that we have used the horizontal, diagonal, anti-diagonal and vertical masks to perform the erosion and dilation which is results in to the skull masked image which further proceed to segmentation.

Benefits of the Project

The Brain tumour detection decision support system assists and helps doctors in making the best, most accurate, and quickest decisions possible while also reducing total treatment costs. By predicting strokes at an early stage, the suggested technique lowers treatment costs and improves quality of life

Technical Details of Final Deliverable

We are making a web base application for Brain tumor detection system .

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

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