image segmentation using deep learning

hello guys, hope all doing well

i would like to ask your help in how to train simple deep learning method to segment an image.

i have image, for example 10 image (PNG) for left ventricle of patient from MRI and i have the contours for that images (PNG) . the question is how i can to store the contours as ground truth for the images ? i follow the example below in matlab (traingle segmentation) but for my data i don't know how to store the image contours as ground truth for the training images. if you have any ideas don't hesitate to share with me. thanks a lot

I want to train this network to segment an image corresponding to their contours as shown below:

training image contour for the training image

matlab example:

training image training labeles

dataSetDir = fullfile(toolboxdir('vision'),'visiondata','triangleImages');
imageDir = fullfile(dataSetDir,'trainingImages');
labelDir = fullfile(dataSetDir,'trainingLabels');
imds = imageDatastore(imageDir);
 classNames = ["triangle","background"];
labelIDs   = [255 0];
pxds = pixelLabelDatastore(labelDir,classNames,labelIDs);
imageSize = [32 32];
numClasses = 2;
lgraph = unetLayers(imageSize, numClasses);
ds = pixelLabelImageDatastore(imds,pxds);
options = trainingOptions('sgdm', ...
    'InitialLearnRate',1e-3, ...
    'MaxEpochs',50, ...
    'VerboseFrequency',10);
net = trainNetwork(ds,lgraph,options);
testImage = imread('triangleTest.jpg');
figure
imshow(testImage)
C = semanticseg(testImage,net);
B = labeloverlay(testImage,C);
figure
imshow(B)

Answer 1

[Image Analyst]

You can use the Image Labeler in the Image Processing Toolbox section of the Apps tab on the tool ribbon.

[zakarya shaaf]

i know about image labeler and its really nice tool, but later on i want to use too many images, it will be a tedious task to label them. Whereas that contour already as labels provided by experts. I just want to train that images with thier contours/labels already provided. Thanks a lot for your response.