Published March 13, 2023 | Version v1
Dataset Open

Trained Models for "Segmentation of human functional tissue units in support of a Human Reference Atlas"

Creators

  • 1. Cyberinfrastructure for Network Science (CNS), Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, Indiana, United States of America
  • 2. Department of Pathology, Stanford University, Stanford, CA, USA
  • 3. Thermo Fisher Scientific, South San Francisco, CA 94080, USA
  • 4. Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110
  • 5. Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
  • 6. Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
  • 7. Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37232, USA; Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232
  • 8. Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37232, USA; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232

Description

This repository contains all trained models for five algorithms as documented in the paper "Segmentation of human functional tissue units in support of a Human Reference Atlas".

Files

trained_models.zip

Files (16.5 GB)

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md5:04755ef78d74542f465994fdc3fbec7c
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Additional details

Related works

Is cited by
Preprint: 10.1101/2021.11.09.467810 (DOI)