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cnn-3d-images-tensorflow's Introduction

CNN 3D Images using Tensorflow

  • Goal: MRI classification task using CNN (Convolutional Neural Network)

  • Code Dependency: Tensorflow 1.0, Anaconda 4.3.8, Python 2.7

  • Difficulty in learning a model from 3D medical images

    1. Data size is too big. e.g., 218x182x218 or 256x256x40
    2. There is only limited number of data. In other words, training size is too small.
    3. All image looks very similar and only have subtle difference between subjects.
  • Possible solutions

    1. Be equipped with good machine especially the RAM
    2. Downsample images in the preprocessing
    3. Data augmentation e.g., rotate, shift, combination
    4. Transfer learning

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cnn-3d-images-tensorflow's Issues

Can I have your data?

Sorry,I don't know how to use your code.
I don't kmow what's your data looks like?It has a txt,some3D images?
Could I use your date to run this code?

FC

I want to know how you choose parameters fo FC layers.

Help

Hi, I am trying to run your code, but didn't find get_data_MRI function. Can you please share it.

About the "get_data_MRI"

I do not wanna your MRI data. I am just learing the application fo 3D-CNN. But I am not experienced.
So, Can you give me the code about the "get_data_MRI" without your critical. And at least incluing the format(input, output), code of batch-generate and so on.
I would appreciate it if you could share this code. Looking froward to you reply.

Can you upload a trained network, rather than just the code?

Hello! I have my own 3D MRI images in NIFTI format that I would like to classify and I would be very grateful if you could upload a trained network that I can feed my own images into rather than just the code to create the network (which does look good, though, I've used similar code in the past). Is this possible?

Can you generate a fake data?

Hi, this is a great code. Could you generate a fake dataset with label.txt so I can understand the code better by running it. Thanks you so much. Yibing

About your data

what kind of disease is your classification about?And what is your accuracy rate?

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