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rishiswethan / Cancer-detection-using-CNN

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%
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Hi, i have a questions #1

Open mkj676 opened 6 years ago

mkj676 commented 6 years ago

Your code is very good! But, i have a one question!

How do you preprocess input data??

rishiswethan commented 6 years ago

Thanks, there is no seperate preprocessing step. If you can see, I have a function that will crop the image into 12 parts. That's where the normalising takes place too. Then, a forward pass is done on the CNN for the input image to get the output.

On 09-Feb-2018 11:56 AM, "Min Kyoung-jun" notifications@github.com wrote:

Your code is very good! But, i have a one question!

How do you preprocess input data??

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mkj676 commented 6 years ago

what is .npy file???

rishiswethan commented 6 years ago

That is a pre-trained model. The model is stored as a .npy file. You can save any variable using numpy

On Fri, Feb 9, 2018 at 12:39 PM, Min Kyoung-jun notifications@github.com wrote:

what is .npy file???

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LohithaV commented 5 years ago

Your code is very good! But, i have a one question!

How do you preprocess input data??

which python version did you downloaded?Does pill supported with python 3