Trained Models for "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms"
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/7545792
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资源简介：
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.
创建时间：
2023-01-18
