👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
Apply Data Augmentation to 3D Volumes
Hello Reader,
Have you ever needed to apply data augmentation to 3D volumes?
Here's a quick tutorial on how to do so ↓
What is Data Augmentation?
In order to train a neural network, a significant amount of data is required to obtain a well performing and robust model that can work with the majority of cases (a generalizable model). However, it is not always possible to obtain a large amount of natural data in any task, particularly in healthcare projects. One input in 3D medical imaging is a single patient with multiple slices, so it's difficult to collect a large dataset of patients.
Data augmentation allows you to start from a small dataset, apply different transformations on it in order to obtain a larger dataset with more variety. This is done by applying transformations such as: left-right shift, rotation, changing contrast, etc.
Data Augmentation using MONAI and Python
Here's a code snippet on how to apply data augmentation on 3D volumes using MONAI and Python.
I hope you enjoyed this week's edition!
Machine Learning for Medical Imaging
👉 Learn how to build AI systems for medical imaging domain by leveraging tools and techniques that I share with you! | 💡 The newsletter is read by people from: Nvidia, Baker Hughes, Harvard, NYU, Columbia University, University of Toronto and more!
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