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SNOMED CT Entity Linking Challenge - Benchmark

DrivenData Labs

This guest blog post from our partners at Veratai contains code for training the benchmark entity linking model for the SNOMED CT Entity Linking Challenge. You can find the code and instructions for reproducing this notebook in this repository. This unstructured data can be challenging to analyze and extract meaningful insights from.

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Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series

PyImageSearch

In this concluding tutorial, we’ll delve deep into the captivating world of image segmentation, harnessing the power of the U-Net architecture. By the end of this tutorial, you’ll have a robust grasp of how to implement, train, and evaluate the U-Net model using PyTorch. Let’s embark on this grand finale together!