The Ultimate Guide to nnU-Net
<p>During my Research internship in Deep Learning and Neurosciences at Cambridge University, I used the nnU-Net a lot, which is an extremely strong baseline in Semantic Image Segmentation.</p>
<p>However, I struggled a little to fully understand the model and how to train it, and did not find so much help on internet. Now that I am comfortable with it, I created this tutorial to help you, either in your quest to understand better what is behind this model, or how to use it in your own dataset.</p>
<p>Throughout this guide, you will:</p>
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<li>Develop a concise overview of the key contributions of nnU-Net.</li>
<li>Learn how to apply nnU-Net to your own dataset.</li>
</ol>
<p>All code available on this <a href="https://colab.research.google.com/drive/1h6scef1i258x0abxT_FcSI_QBN9Eh_9e?usp=sharing" rel="noopener ugc nofollow" target="_blank">Google Collab notebook</a></p>
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<p>This work took me a significant amount of time and effort. If you find this content valuable, please consider following me to increase its visibility and help support the creation of more such tutorials!</p>
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<p><a href="https://towardsdatascience.com/the-ultimate-guide-to-nnu-net-for-state-of-the-art-image-segmentation-6dda7f44b935"><strong>Click Here</strong></a></p>