What Segmentation Algorithm is used in this code for Brain Tumor Detection?

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matlab project
matlab project 2022-4-8
评论： Image Analyst 2022-4-10
function varargout = main(varargin)
% MAIN MATLAB code for main.fig
% MAIN, by itself, creates a new MAIN or raises the existing
% singleton*.
%
% H = MAIN returns the handle to a new MAIN or the handle to
% the existing singleton*.
%
% MAIN('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in MAIN.M with the given input arguments.
%
% MAIN('Property','Value',...) creates a new MAIN or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before main_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to main_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help main
% Last Modified by GUIDE v2.5 31-Jan-2019 14:07:27
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @main_OpeningFcn, ...
'gui_OutputFcn', @main_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before main is made visible.
function main_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to main (see VARARGIN)
% Choose default command line output for main
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes main wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = main_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global I
[filename,pathname] = uigetfile({'*.*';'*.bmp';'*.tif';'*.gif';'*.png'},'Pick an Image File');
I = imread([pathname,filename]);
I = imresize(I,[200,200]);
axes(handles.axes1);
imshow(I);
axis off
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global I
global img;
img1 = I;
if(size(img1,3)>2)
img1=rgb2gray(img1);
end
img1 = imresize(img1,[200,200]);
% Converts uint8 to Double
img=im2double(img1);
%Removing Noise by applying Median Filter
img=medfilt2(img);
axes(handles.axes3);
imshow(img);
axis off
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA
%Converting Image into Binary Image with a threshold value 0.65
global img
global img1
global I
img1 = I;
if(size(img1,3)>2)
img1=rgb2gray(img1);
end
img1 = imresize(img1,[200,200]);
% Converts uint8 to Double
img=im2double(img1);
%Removing Noise by applying Median Filter
img=medfilt2(img);
bw = im2bw(img,0.7);
imgCheck = im2bw(img1);
% Crearing 2D Binary Image Label
label = bwlabel(bw);
% For Finding the Properties of the image
% Returns a scalar specifying the proportion of the pixels in the convex hull that are also in the region
properties = regionprops(label,'Solidity','Area');
% Density of the convex Hull
density = [properties.Solidity];
% Area of the Hull
area = [properties.Area];
% High Density Areas are tumor
denseCond = density > 0.5;
% Finding the biggest tumor
denseMax = max(area(denseCond));
tumorFinal = find(area == denseMax);
% From the properties finded out earlier, we found the biggest tumor
tumor = ismember(label,tumorFinal);
% Using Morphological Operation using square structural Element
se = strel('square',3);
tumor = imdilate(tumor,se);
ref=tumor;
axes(handles.axes4);
imshow(tumor);
%mask code
% Tumor1=bwareafilt(tumor,1);
% figure(6), imshow(Tumor1);
% [m n]=size(ref);
% figure(6), subplot(131), imshow(ref);
% I1=imresize(I,[m n]);
% subplot(132), imshow(I1);
% I1=rgb2gray(I1);
% for i=1:m
% for j=1:n
% if (ref(i,j)==0)
% I1(i,j)=0;
% end
% end
% end
% subplot(133), imshow(I1);
%
% %using cc analysis
% [L Ne]=bwlabeln(ref);
% for n=1:Ne
% % http://www.mathworks.in/help/matlab/ref/find.html
% [r,c] = find(L==n);
% % http://www.mathworks.in/help/matlab/ref/max.html
%
% n1=I1(min(r):max(r),min(c):max(c));
% end
% axis off
% mask=zeros(size(I1));
% figure(7), subplot(131), imshow(n1);
% subplot(132), imshow(mask);
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img
global img1
global I
img1 = I;
if(size(img1,3)>2)
img1=rgb2gray(img1);
end
img1 = imresize(img1,[200,200]);
% Converts uint8 to Double
img=im2double(img1);
%Removing Noise by applying Median Filter
img=medfilt2(img);
bw = im2bw(img,0.7);
imgCheck = im2bw(img1);
% Crearing 2D Binary Image Label
label = bwlabel(bw);
% For Finding the Properties of the image
% Returns a scalar specifying the proportion of the pixels in the convex hull that are also in the region
properties = regionprops(label,'Solidity','Area');
% Density of the convex Hull
density = [properties.Solidity];
% Area of the Hull
area = [properties.Area];
% High Density Areas are tumor
denseCond = density > 0.5;
% Finding the biggest tumor
denseMax = max(area(denseCond));
tumorFinal = find(area == denseMax);
% From the properties finded out earlier, we found the biggest tumor
tumor = ismember(label,tumorFinal);
% Using Morphological Operation using square structural Element
se = strel('square',3);
tumor = imdilate(tumor,se);
ref=tumor;
% figure(6), imshow(Tumor1);
[m n]=size(ref);
figure(6), subplot(131), imshow(ref);
I1=imresize(I,[m n]);
subplot(132), imshow(I1);
I1=rgb2gray(I1);
for i=1:m
for j=1:n
if (ref(i,j)==0)
I1(i,j)=0;
end
end
end
subplot(133), imshow(I1);
[boundary,l1] = bwboundaries(tumor,'noholes');
% figure(3)
% imshow(img,[]);
axes(handles.axes6);
imshow(I1,[]);
title('Tumor Boundary');
hold on;
for i = 1:length(boundary)
plot(boundary{i}(:,2),boundary{i}(:,1),'r','linewidth',1.45);
end
title('Detected Tumor')
hold off;
axis off;
s1 = imgCheck(:,:);
[c1,d1,e1,f1] = dwt2(s1,'db4');
[c2,d2,e2,f2] = dwt2(c1,'db4');
[c3,d3,e3,f3] = dwt2(c2,'db4');
dwtfeat = [c3,d3,e3,f3];
% Performing the Principal Component Extraction for feature extraction
G = pca(dwtfeat);
g = graycomatrix(G);
statistics = graycoprops(g,'Contrast Correlation Energy Homogeneity');
Contrast = statistics.Contrast;
Correlation = statistics.Correlation;
Energy = statistics.Energy;
Homogeneity = statistics.Homogeneity;
Mean = mean2(G);
Standard_Deviation = std2(G);
Entropy = entropy(G);
RMS = mean2(rms(G));
%Skewness = skewness(img)
Variance = mean2(var(double(G)));
a = sum(double(G(:)));
Smoothness = 1-(1/(1+a));
Kurtosis = kurtosis(double(G(:)));
Skewness = skewness(double(G(:)));
% Inverse Difference Movement
m = size(G,1); % No. of Rows
n = size(G,2); % No. of Columns
diff = 0;
for i = 1:m
for j = 1:n
temp = G(i,j)./(1+(i-j).^2);
diff = diff + temp;
end
end
IDM = double(diff);
features = [Contrast,Correlation,Energy,Homogeneity, Mean, Standard_Deviation, Entropy, RMS, Variance, Smoothness, Kurtosis, Skewness, IDM];
% The 30 datasets which we are training the SVM with
load myset30.mat %
svmStruct = fitcsvm(meas,label,'OptimizeHyperparameters','auto', ...
'HyperparameterOptimizationOptions',struct('ShowPlots', false), 'KernelFunction','linear');
Species = predict(svmStruct,features);
%Species = predict(svmStruct,features);
if strcmpi(Species,'MALIGNANT')
disp('Malignant Tumor ');
else
disp(' Benign Tumor ');
end
% Put the features in GUI
set(handles.edit2,'string',Mean);
set(handles.edit3,'string',Standard_Deviation);
set(handles.edit16,'string',Entropy);
set(handles.edit5,'string',RMS);
set(handles.edit6,'string',Variance);
set(handles.edit7,'string',Smoothness);
set(handles.edit8,'string',Kurtosis);
set(handles.edit9,'string',Skewness);
set(handles.edit10,'string',IDM);
set(handles.edit11,'string',Contrast);
set(handles.edit12,'string',Correlation);
set(handles.edit13,'string',Energy);
set(handles.edit14,'string',Homogeneity);
set(handles.edit15,'string',Species);
function edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit3_Callback(hObject, eventdata, handles)
% hObject handle to edit3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit3 as text
% str2double(get(hObject,'String')) returns contents of edit3 as a double
% --- Executes during object creation, after setting all properties.
function edit3_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit4_Callback(hObject, eventdata, handles)
% hObject handle to edit4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit4 as text
% str2double(get(hObject,'String')) returns contents of edit4 as a double
% --- Executes during object creation, after setting all properties.
function edit4_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit5_Callback(hObject, eventdata, handles)
% hObject handle to edit5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit5 as text
% str2double(get(hObject,'String')) returns contents of edit5 as a double
% --- Executes during object creation, after setting all properties.
function edit5_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit6_Callback(hObject, eventdata, handles)
% hObject handle to edit6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit6 as text
% str2double(get(hObject,'String')) returns contents of edit6 as a double
% --- Executes during object creation, after setting all properties.
function edit6_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit7_Callback(hObject, eventdata, handles)
% hObject handle to edit7 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit7 as text
% str2double(get(hObject,'String')) returns contents of edit7 as a double
% --- Executes during object creation, after setting all properties.
function edit7_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit7 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit8_Callback(hObject, eventdata, handles)
% hObject handle to edit8 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit8 as text
% str2double(get(hObject,'String')) returns contents of edit8 as a double
% --- Executes during object creation, after setting all properties.
function edit8_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit8 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit9_Callback(hObject, eventdata, handles)
% hObject handle to edit9 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit9 as text
% str2double(get(hObject,'String')) returns contents of edit9 as a double
% --- Executes during object creation, after setting all properties.
function edit9_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit9 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit10_Callback(hObject, eventdata, handles)
% hObject handle to edit10 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit10 as text
% str2double(get(hObject,'String')) returns contents of edit10 as a double
% --- Executes during object creation, after setting all properties.
function edit10_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit10 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit11_Callback(hObject, eventdata, handles)
% hObject handle to edit11 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit11 as text
% str2double(get(hObject,'String')) returns contents of edit11 as a double
% --- Executes during object creation, after setting all properties.
function edit11_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit11 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit12_Callback(hObject, eventdata, handles)
% hObject handle to edit12 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit12 as text
% str2double(get(hObject,'String')) returns contents of edit12 as a double
% --- Executes during object creation, after setting all properties.
function edit12_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit12 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit13_Callback(hObject, eventdata, handles)
% hObject handle to edit13 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit13 as text
% str2double(get(hObject,'String')) returns contents of edit13 as a double
% --- Executes during object creation, after setting all properties.
function edit13_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit13 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit14_Callback(hObject, eventdata, handles)
% hObject handle to edit14 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit14 as text
% str2double(get(hObject,'String')) returns contents of edit14 as a double
% --- Executes during object creation, after setting all properties.
function edit14_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit14 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function edit15_Callback(hObject, eventdata, handles)
% hObject handle to edit15 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit15 as text
% str2double(get(hObject,'String')) returns contents of edit15 as a double
% --- Executes during object creation, after setting all properties.
function edit15_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit15 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%perimeter
% global I
% B=im2bw(I);
%
% %Fill the holes
% C=imfill(B,'holes');
%
% %Label the image
% [Label,Total]=bwlabel(C,8);
% %Object Number
% num=4;
% [row, col] = find(Label==num);BW=bwboundaries(Label==num);
% c=cell2mat(BW(1));
% Perimeter=0;
% for i=1:size(c,1)-1
% Perimeter=Perimeter+sqrt((c(i,1)-c(i+1,1)).^2+(c(i,2)-c(i+1,2)).^2);
% end
% display(Perimeter)
global I
A = I;
A = imresize(A,[200,200]);
Resolution=5; % micron/pixel
% CALCULATIONS
if size(A,3)==3
A=rgb2gray(A);
end
A=im2bw(A,graythresh(A));
A=bwmorph(A,'majority',5);
Conn=8;
[s1,s2]=size(A);
P=bwperim(A);
At=s1*s2; % Total surface
% Ag=sum(sum(A)); %Area of grains
% Ap=sum(sum(~A)); %Area of pores
Perim=sum(sum(P));
%Outputs
display(Perim)
function edit16_Callback(hObject, eventdata, handles)
% hObject handle to edit16 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit16 as text
% str2double(get(hObject,'String')) returns contents of edit16 as a double
% --- Executes during object creation, after setting all properties.
function edit16_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit16 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end

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Image Analyst
Image Analyst 2022-4-8
The main segmentation is done here:
bw = im2bw(img,0.7);
so that would be a global Otsu threshold.
After that it analyzes the texture within the mask area and compares the texture values, with SVM (Support Vector Machine), to a set of previously analyzed images where the image has been definitively labeled as benign or malignant.
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matlab project
matlab project 2022-4-10
update_cluster.m
function [U_new, center, obj_fcn] = update_cluster(datasample, U, cluster_n, expo)
mf = U.^expo; % MF matrix after exponential modification
center = mf*datasample./((ones(size(datasample, 2), 1)*sum(mf'))'); % new center
%***********************************************************************
out = zeros(size(center, 1), size(datasample, 1));
if size(center, 2) > 1,
for k = 1:size(center, 1),
out(k, :) = sqrt(sum(((datasample-ones(size(datasample, 1), 1)*center(k, :)).^2)'));
end
else
for k = 1:size(center, 1),
out(k, :) = abs(center(k)-datasample)';
end
end
dist = out;
%***********************************************************************
obj_fcn = sum(sum((dist.^2).*mf)); % objective function
tmp = dist.^(-2/(expo-1)); % calculate new U, suppose expo != 1
U_new = tmp./(ones(cluster_n, 1)*sum(tmp));
Image Analyst
Image Analyst 2022-4-10
Since there are virtually no comments or explanation it's hard to tell. I see it computing distances so perhaps it's K Nearest Neighbor. But you'd be best off asking the author (and scolding him for not putting in comments or explanations).

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