👉 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!
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ What We Learned This Year (Medical Imaging Edition) As this year wraps up, I wanted to share a few quick lessons from the projects we worked on, especially around building web...
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ Zoom That Works Everywhere If you can’t zoom any pane in your web DICOM viewer, you’re doing extra work for no reason. Think of it like this: when something is small, you bring it...
Hello Reader, Welcome to another edition of PYCAD newsletter where we cover interesting topics in Machine Learning and Computer Vision applied to Medical Imaging. The goal of this newsletter is to help you stay up-to-date and learn important concepts in this amazing field! I've got some cool insights for you below ↓ A Quick Look at Our Volume Measurement Tool One of the tools we’ve been working on is a simple way to estimate 3D volumes directly inside the viewer. You start by drawing a...