how to interpret from output matrix of neural network that what is result

Hi i had to classify images as normal and pathological, in order to do that i use neural network.

to put images data into neural network i extracted features from images and converted them into column vector using (:)

D = 'Data';
Train_Feature=[];
Train_Label=[];
S = dir(fullfile(D,'*'));
N = setdiff({S([S.isdir]).name},{'.','..'}); % list of subfolders of D.
for ii = 1:numel(N)
    T = dir(fullfile(D,N{ii},'*')); % improve by specifying the file extension.
    C = {T(~[T.isdir]).name}; % files in subfolder.
    for jj = 1:numel(C)
        F = fullfile(D,N{ii},C{jj})
        I=imread(F);
        a=imresize(I,[256 256]);
        G=rgb2gray(a);
        F=extractHOGFeatures(G);
        
        [b,c]=size(F);
        X=zeros(b,c);
        Y=zeros(b,c);
        X(1,:)=1;
        Y(1,:)=0;
    
        Train_Feature=[Train_Feature,F(:)];
        if(N{ii}=='1')
            Train_Label=[Train_Label,X(:)];
        else
            Train_Label=[Train_Label,Y(:)];
        end
    end
end

save('Train_Feature','Train_Feature')
save('Train_Label','Train_Label')

and made two variables Train_Feature(input data) and Train_Label(target data).

the values that are stored in these variables are

for Train_Feature

and for Train_Label

So i put these variables(Train_Feature and Train_Label) as input data and target data to train neural network...

this is code for neural network...

inputs = Train_Feature;
targets = Train_Label;

% Create a Pattern Recognition Network
hiddenLayerSize = 10;
net = patternnet(hiddenLayerSize);


% Set up Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;


% Train the Network
[net,tr] = train(net,inputs,targets);

% Test the Network
outputs = net(inputs)
errors = gsubtract(targets,outputs);
performance = perform(net,targets,outputs)

% View the Network
view(net)

save('Mynetwork','net')

so in order to classify image i wrote this code

load Mynetwork

[fname, path]=uigetfile('.png','Open an Image as input for training');
fname=strcat(path, fname);

I=imread(fname);
a=imresize(I,[256 256]);
G=rgb2gray(a);
F=extractHOGFeatures(G);

answer=net(F(:))

here the answer that i get is in column matrix form...

so how do i know what was the output (that is how to know that the image belonged to which class) ???