How can I train (manually labeled) x-ray image data using CNN (labeled data in .json format)?
7 views (last 30 days)
Show older comments
Fahad Parvez Mahdi
on 12 Sep 2018
Commented: Kevin Chng
on 3 Oct 2018
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 Comments
Kevin Chng
on 19 Sep 2018
Edited: Kevin Chng
on 19 Sep 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);
Accepted Answer
Kevin Chng
on 2 Oct 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 Comments
More Answers (0)
See Also
Categories
Find more on Web Services in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!