Brain tumor detection using Image segmentation

a brain tumor is an abnarmal growth of cells inside the brain or skill; some are begin,other maliagnant .tumor can grow from the brain tissuse itself,or cancer elsewhere in the body can spread to the brain . treatment option vary depending on the tumor type .size and location . treatment goals may b

Project Title

Brain tumor detection using Image segmentation

Project Area of Specialization

Artificial Intelligence

Project Summary

a brain tumor is an abnarmal growth of cells inside the brain or skill; some are begin,other maliagnant .tumor can grow from the brain tissuse itself,or cancer elsewhere in the body can spread to the brain . treatment option vary depending on the tumor type .size and location . treatment goals may be  cutative or focus on reieving syptoms. many of the 120 types of brain tumors can be successfully treated , Now therapies are improving the life span and quality for many people. Narmal cells grow in a controlled manner as new cells replace old or damaged ones. for reason not fully understood,tumor cells reproducede irrespressiby. A primry  brain is an abnormal growth that starts in the brain and usualy  does not spread to other parts of the body . primary  brain tumors may be begin or malignant . A begning  grows slowly , has distinct boundries, and rarely spreads.

brain tumors can cause many symtoms, some of the common are as follows:

headacges, often in the morning 

nausea and vomiting

problems with balance or walking

problems with thinking or memory

feeling weak or sleepy

changes in your  mood or behavior

seizures doctors diagnose brain tumors by doing a  neurologic exam and tests including an MRI ,CT scan, biopsy. Treatment options include watchful waiting ,surgery radiation therapy,chemotherapy,and targeted theropy.

Project Objectives

we propose an efficiant brain tumor detection method, witch can detect tumor and locate it in the brain MRI images . This method extracts the tumor by using K-means algorithom followed by objective labeling algorithum. Also some preprocessing stepsare used for tumor detection purpose. It is observed that the experimental results of the proposed method give batter results in comparison to other techniques.

Project Implementation Method

In general, diagnosing a brain tumor usually begins with magnetic resonance imaging (MRI). Once MRI shows that there is a tumor in the brain, the most common way to determine the type of brain tumor is to look at the results from a sample of tissue after a biopsy or surgery.

Benefits of the Project

user region -based  right-based symmery, rather than point -wise symmetry.

uses single MRI images

training data required 

No image registration needed.

Technical Details of Final Deliverable

medical image processing is a complex and challenging field nowadays . Processing of MRI images  is one of the parts of this field . This propeses a strategy ,for efficient detection of a brain tumor in MRI images. The methology consists of the  following steps:preprossing by using sharpening and nedian filters,enhancement of images is performed by  histogram equalization , segmentation of the image is performed by thresholding .This approach is then followd by the further application of morphological operation. finally the tumor region can be using the technique of image subtraction

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Medical

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