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

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