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...

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Hauptverfasser: Jain, Yashvardhan, Godwin L., Leah, Joshi, Sripad, Mandarapu, Shriya, Le, Trang, Lindskog, Cecilia, Lundberg, Emma, Börner, Katy
Format: Dataset
Sprache:eng
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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