Update Fully Residual U-Net - TEM

[bioimageiobot]

This is an automatic PR created by the @bioimageiobot regarding changes to the resource item 10.5281/zenodo.6559929.
The following version(s) will be added:

• 6624846 (version from 2022-06-08)

Please review the changes and make sure the new item or version(s) pass the following check list:

• Passed the bioimage.io CI tests: static (and dynamic) validations
• The meta information for the RDF item is complete
  • The tags are complete and describe the model
  • Naming is intuitive and descriptive, example: Multi-Organ Nucleus Segmentation (StarDist 2D)
  • Authors are provided
  • Documentation is complete
    • For models, include an overview, describe how the model is trained, what is the training data, how to use the model, how to validate the results and list the references. TODO: Model documentation template.
• Approved by at least one of the bioimage.io admin team member.

Maintainers: @esgomezm

Note: If you updated or re-uploaded another version for the current item on Zenodo, this PR won't be changed automatically. To proceed, you can do the following:

1. Block this version, but keep looking for future versions: Edit the current resource.yaml and keep the top-level status field as accepted, but change the status under the current version to blocked.
2. Accept this version and keep looking for future versions: Merge this PR for now.
3. Keep proposed version(s) (and this resource in general if it is new) as pending: Close this PR without merging.

Then wait for the CI on the main branch to complete. It should detect the new version(s) and create another PR for the new version(s).

Previous PRs of this resource: #442

[FynnBe]

exampleImage.npy) is missing (it is present in the zip, but not the record.
@esgomezm could you please add it?

[FynnBe]

while doing that you may as well correct the .tif -> .tiff in the RDF attachments

[bioimageiobot]

preview
preview-collection-json