Journal Article

Segmentation of human functional tissue units in support of a Human Reference Atlas

Patterson, Nathan Heath, Jain, Yashvardhan, Lin, Yiing, Börner, Katy, Godwin, Leah L., Longacre, Teri, Snyder, Michael P., Hickey, John W., Quardokus, Ellen M., Ju, Yingnan, Bueckle, Andreas, Esplin, Edward D., Spraggins, Jeffrey M., Horning, Aaron, Sood, Naveksha

2023

Overview

The Human BioMolecular Atlas Program (HuBMAP) aims to compile a Human Reference Atlas (HRA) for the healthy adult body at the cellular level. Functional tissue units (FTUs), relevant for HRA construction, are of pathobiological significance. Manual segmentation of FTUs does not scale; highly accurate and performant, open-source machine-learning algorithms are needed. We designed and hosted a Kaggle competition that focused on development of such algorithms and 1200 teams from 60 countries participated. We present the competition outcomes and an expanded analysis of the winning algorithms on additional kidney and colon tissue data, and conduct a pilot study to understand spatial location and density of FTUs across the kidney. The top algorithm from the competition, Tom, outperforms other algorithms in the expanded study, while using fewer computational resources. Tom was added to the HuBMAP infrastructure to run kidney FTU segmentation at scale—showcasing the value of Kaggle competitions for advancing research. Results from a Kaggle competition and expanded analysis of the winning algorithms are presented for segmentation of functional tissue units as part of the Human BioMolecular Atlas Program (HuBMAP).

• Publisher: Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
• Subject: 631/114/1305 / 631/114/1314 / Adult / Algorithms / Biology / Biomedical and Life Sciences / Humans / Kidneys / Life Sciences / Machine Learning / Magnetic Resonance Imaging / Pilot Projects / Segmentation