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 g...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
DOI: | 10.5281/zenodo.7545792 |