Hi Guys,
Even I am facing the above problem...
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Thanks.
Thanks for reply sir. Actually I am working in pylearn from last two months and now I have not much time left to switch. So I have time and hardware constraints. I have two months to finish my work and I have i7-5th generation , 64 core processor without gpus as a high end computer in my college. So is it possible to switch to block or keras with this time and hardware constraints. I was using pylearn because of its simplicity. I expect the same for blocks and keras have the same way of application for medical image processing. Thanks sir.
Hi vivek.
I would like to know how you resolved the problem of using the images in .mha format. I really need to know if I can use .mha format on pylearn2 or Theano
Thanks
That is the wrong question I think. You should ask if you can load in Python that file format. Then make sure to have your minibatch of examples in numpy.ndarray format and it will work.
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Hi Frederick,
You quoted a pointer that " minibatch of numpy.ndarray " .I want to know how to create the minibatches for the .mha files of the BRATS DATASET using Python. Please give me some pointers on this ...
Hi Frederick ,
Thanks for the reply ... I even want to know it for the natural images .. can I please get some pointers on that ...