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 个评论
Kevin Chng
Kevin Chng 2018-9-19
编辑:Kevin Chng 2018-9-19
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 2018-9-27
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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采纳的回答

Kevin Chng
Kevin Chng 2018-10-2
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.

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