Preprocessing data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5

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Our full preprocessing step that takes our 3D DICOM imaging data, normalizing and resizing it so we can feed it through our 3D convolutional neural network.

The kernel for these tutorials: https://www.kaggle.com/sentdex/data-science-bowl-2017/first-pass-through-data-w-3d-convnet
If you found this Kernel helpful, please upvote on Kaggle using the link above.
If you have questions/comments/suggestions, post either on the video or on the Kernel and I will do my best to help you out!

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Tags:
data science
Python
Kaggle
programming
lung cancer
detection
convolutional neural network
deep learning
tensorflow
neural network
ct scan
3D convolutional neural network
3D
medical images
cat scan
dicom
pydicom