Trained Models for "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms"
Yashvardhan Jain, Leah L. Godwin, Sripad Joshi, Shriya Mandarapu, Trang H. Le, Cecilia Lindskog, Emma K. Lundberg, Katy Börner · Zenodo (CERN European Organization for Nuclear Research) · 2023
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: trained_model_1_weights.zip: Trained model weights for first place solution (Team 1). trained_model_2_weights.zip: Trained model weights for second place solution (Team 2). trained_model_3_weights.zip: Trained model weights for third place solution (Team 3). trained_model_weights_baseline.zip: Trained model weights for the baseline model.