How to read a single image from a folder and then classify it with a trained neural network?

Question

Malina Balint 2021-4-21

0
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https://ww2.mathworks.cn/matlabcentral/answers/808875-how-to-read-a-single-image-from-a-folder-and-then-classify-it-with-a-trained-neural-network

回答： Prateek Rai 2021-8-16

I trained my network for skin tumor classification and then saved it. Now I want to test the accuracy for some new images. It works fine using imageDatastore but what I really want is to be able to browse in my computer for an image and classify it using the trained network. Is this possible?

Below I have attached the test code for a set of images.

load incercare.mat
imds= imageDatastore('E:/LICENTA/BD_Skin_Cancer_Screening/mini_data/test/', ...
    'IncludeSubfolders', true, ...
    'LabelSource', 'foldernames' );
[YPred,probs] = classify(netTransfer,imds);
accuracy = mean(YPred == imds.Labels)
for i=1:10
     subplot(2,5,i)
 I = readimage(imds,idx(i));
    imshow(I)
    label = YPred(idx(i));
    title(string(label) + ", " + num2str(100*max(probs(idx(i),:)),3) + "%");
end

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Amit 2021-6-5

Dear Malina,

Accoridng to me Backpropagation Feedforward neural network would be best suited for your purpose.

Please send me your 'incercare.mat' file by email on amit.kenjale@gmail.com, I will analyze this file for its variables and suggest you best suited approach to get your work done..

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