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MATLAB Brain Tumor Detection Report

The document is a summer training report submitted by Manoj Singh for his B.Tech in Electronics and Communication Engineering at Veer Bahadur Singh Purvanchal University, Jaunpur. It includes an introduction to brain cancer symptoms and diagnosis methods. The methodology section describes a medical survey conducted and the development of a GUI-based application to analyze MRI data and detect brain tumors. It includes a flow chart and MATLAB program for brain tumor detection showing steps of preprocessing the MRI image, segmenting the tumor region, and outputting results. The report concludes with a section on results from executing the program and an industrial visit description.

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0% found this document useful (0 votes)
66 views9 pages

MATLAB Brain Tumor Detection Report

The document is a summer training report submitted by Manoj Singh for his B.Tech in Electronics and Communication Engineering at Veer Bahadur Singh Purvanchal University, Jaunpur. It includes an introduction to brain cancer symptoms and diagnosis methods. The methodology section describes a medical survey conducted and the development of a GUI-based application to analyze MRI data and detect brain tumors. It includes a flow chart and MATLAB program for brain tumor detection showing steps of preprocessing the MRI image, segmenting the tumor region, and outputting results. The report concludes with a section on results from executing the program and an industrial visit description.

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manoj singh
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VEER BAHADUR SINGH PURVANCHAL UNIVERSITY

JAUNPUR
BACHELOR OF TECHNOLOGY
IN
ELECTRONICS AND COMMUNICATION ENGINEERING

Session: 2022-2023

“SUMMER TRAINING REPORT”


ON
MATLAB PROGRAMMING

SUBMITTED TO: SUBMITTED BY:


Mrs. Jyoti Prashant Singh Manoj Singh (2085249)
(Assistant Professor) B.Tech. ECE 4th Year
UNSIET, Jaunpur, U.P.
INTRODUCTION
Brain Cancer
A brain tumor is an abnormal growth of tissue in the brain or central spine that
can disrupt proper brain function.

Symptoms
Brain tumor symptoms can vary according to tumor type and location.
There are times a person may have no symptoms when their brain
tumor is discovered.
1.Recurrent headaches
2.Issues with vision
3.Changes in personality
4. Short term memory loss
5.Poor coordination
6.Difficulty speaking
Diagnosis
Doctors use many tests to find or diagnose a brain tumor and learn the
type of brain tumor.
Doctor may also do test to learn which treatments could work best.
1.MRI 4. Evoked potential
2.CT scan 5. Lumbar puncture or spinal tap
3.PET 6. Molecular testing of the Tumor
METHOLOGY
Medical survey
Need and current scenario of image processing in medical field .
Technology overview
Existing method in image processing.
Image processing
Enhancement extraction segmentation and classification.
Application Development
GUI based app facilitates MRI data analysis and tumor detection result.
Execution
Debugging testing and successful results.

FLOW CHART OF BRAIN TUMOR

start Tumor
No
Yes
Program of Brain Tumor

close all;
clearall;
clc;
img=imread('brain1.jpg’);
bw=im2bw(img,0.7);
label=bwlabel(bw);
stats=regionprops(label,'Solidity','Area’);
density=[stats.Solidity];
area=[stats.Area];
high_dense_area=density>0.5;
max_area=max(area(high_dense_area));
tumor_label=find(area==max_area);
tumor=ismember(label,tumor_label);
se=strel('square',5);
tumor=imdilate(tumor,se);
figure(2);
subplot(1,3,1);imshow(img,[]);title('Brain’);
subplot(1,3,2);imshow(tumor,[]);title('Tumor Alone’);
[B,L]=bwboundaries(tumor,'noholes’);
subplot(1,3,3);imshow(img,[]);
hold on
for i=1:length(B)
plot(B{i}(:,2),B{i}(:,1), 'y' ,’
linewidth',1.45);
end
title('Detected Tumor’);
hold off;
RESULT

INDUSTRIAL VISIT
I have visited 132/33kv UPPCL from Siddiquepur Jaunpur

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