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Published April 12, 2022 | Version v1
Software Open

CEM1.5M pre-trained ResNet50 weights

Creators

  • Ryan Conrad1 ORCID icon
  • Kedar Narayan1 ORCID icon
  • 1. Frederick National Laboratory for Cancer Research

Description

PyTorch model weights for a ResNet50. Weights were pre-trained using the SwAV algorithm on the CEM1.5M dataset.

Files

Files (207.8 MB)

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cem1.5m_swav_resnet50_200ep_balanced.pth.tar
md5:8ed17e0979420e01839f459a24aca5bf
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498 494
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312 312
Data volume

Total data volume

73.1 GB 73.1 GB

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Indexed in
  • OpenAIRE

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Keywords and subjects

Keywords

  • deep learning
  • image segmentation
  • electron microscopy

Details

DOI
10.5281/zenodo.6453160
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DOI

10.5281/zenodo.6453160

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Resource type
Software
Publisher
Zenodo

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Technical metadata

Created
April 12, 2022
Modified
May 2, 2022

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