Trained Models for "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms"

<p>This repository contains the trained model weights&nbsp;for the baseline model and the winning solutions in the Kaggle competition &quot;HuBMAP+HPA - Hacking the Human Body&quot;, and is part of the paper &quot;Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms&quot;.</p> <p>The directory&nbsp;contains:</p> <p><strong>trained_model_1_weights.zip: </strong>Trained model weights for first place solution (Team 1).</p> <p><strong>trained_model_2_weights.zip:</strong>&nbsp;Trained model weights for second place solution (Team 2).</p> <p><strong>trained_model_3_weights.zip:&nbsp;</strong>Trained model weights for third place solution (Team 3).</p> <p><strong>trained_model_weights_baseline.zip:</strong>&nbsp;Trained model weights for the baseline model.</p>