How can I train (manually labeled) x-ray image data using CNN (labeled data in .json format)?

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I have manually labeled some x-ray image data using dataturks.com I downloaded the file which contain the labeled information. But, the downloaded file is in .json format. Using these .json files, how can I train data in CNN? Can MATLAB understands .json file like .mat file?
  2 comentarios
Kevin Chng
Kevin Chng el 19 de Sept. de 2018
Editada: Kevin Chng el 19 de Sept. de 2018
Do you mind to attach your jason file hereby?
or you may try code below on how to decode jason in MATLAB
fname = 'meta_Electronics.json';
fid = fopen(fname);
raw = fread(fid,inf);
str = char(raw');
fclose(fid);
val = jsondecode(str);
Fahad Parvez Mahdi
Fahad Parvez Mahdi el 27 de Sept. de 2018
Thank you Kevin, but the code is not running. The following error is showing. Error using jsondecode JSON syntax error at line 2, column 1 (character 3689): extra text.
I have attached the json file with my question.

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Respuesta aceptada

Kevin Chng
Kevin Chng el 2 de Oct. de 2018
Hi Fahad Parvez Mahdi,
Sorry for my late reply, It is because there are so many web link in your json file. Therefore, you have to decode them one by one.
Please refer to the code below, it will help you decode your json file. There are 50 web links.
fname = 'Dental X-Ray Image Dataset 1.json';
fid = fopen(fname);
raw = fread(fid,inf);
str = char(raw');
fclose(fid);
k = strfind(str,'con');
k=k-3
k(1:2:end)=k(1:2:end)+1
w=1;
for i=1:2:length(k)
val(w) = jsondecode(str(k(i):k(i+1)));
w=w+1;
end
if you have any inquiries, you are always welcome.
  2 comentarios
Fahad Parvez Mahdi
Fahad Parvez Mahdi el 2 de Oct. de 2018
Hi Kevin,
Thank you very much for the code. I can now see the data stored inside the file. Still long way to go. I will knock back you if I need any further assistance from you. Take care.

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