We have released version 0.1 of fastMONAI, a low-code Python-based deep learning library for medical imaging built on top of fastai, MONAI, and TorchIO. We created the library to simplify the use of state-of-the-art deep learning techniques in 3D medical image analysis for solving classification, regression, and segmentation tasks. The entire library is written using nbdev, a tool for exploratory programming that allows you to write, test, and document a Python library in Jupyter Notebooks. You can install the library using pip and download the tutorial notebooks here: https://github.com/MMIV-ML/fastMONAI. If you decide to try it out and discover any issues, please don’t hesitate to reach out!
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