SegThy / LICENSE.txt
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SegThy is distributed by the Chair for Computer Aided Medical Procedures (CAMP),
Technical University of Munich, together with Klinikum rechts der Isar, from the
author-hosted deposit:
https://www.cs.cit.tum.de/camp/publications/segthy-dataset/
https://www.campar.in.tum.de/public_datasets/2022_plosone_eilers/
LICENSE: CC BY (Creative Commons Attribution)
The license statement ships INSIDE both official archives, as Readme.txt, and is
reproduced verbatim from the MRI archive:
"This dataset is licensed under a CC BY license. This means that users of it can
be distributed, shuffled, adapted, and built upon any material with the sole
condition that the creators are acknowledged by citing the following article:
Tracked 3D Ultrasound and deep neural network-based Thyroid Segmentation reduce
Interobserver Variability in Thyroid Volumetry; Markus Kroenke, Christine Eilers,
Desislava Dimova, Melanie Koehler, Gabriel Buschner, Lilit Mirzojan, Lemonia
Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber,
Thomas Wendler; PLOS ONE 2022 (in press)
The license permits commercial use as long as the authors are cited as described
above."
The identical statement appears in the US archive's Readme.txt. Both Readme files
are preserved unmodified at the root of this mirror as Readme_MRI.txt and
Readme_US.txt.
Consequences:
* Attribution -- the citation above is mandatory.
* Commercial use is EXPLICITLY PERMITTED by the authors ("The license permits
commercial use as long as the authors are cited").
* Redistribution and adaptation are explicitly permitted, which is what makes
this mirror possible.
IMPORTANT -- no CC BY version number is stated anywhere upstream. Neither the
website nor either in-archive Readme names 1.0/2.0/3.0/4.0; they say only "a CC BY
license". Third-party listings that assert "CC BY 4.0" are inferring. This mirror
is tagged cc-by-4.0 because the Hub's license vocabulary has no unversioned CC BY
option, and 4.0 is the current default -- but the authoritative statement is the
unversioned one quoted above.
This mirror redistributes the gold-standard portion of the official release with
its NIfTI payloads byte-identical to source (payload_sha256 in metadata/manifest.csv
records the digest of the uncompressed NIfTI bytes for every file, so fidelity is
checkable independently of gzip container framing). The upstream `network_results/`
folder -- QuickNAT model predictions, not ground truth -- is deliberately excluded;
see the README. Added files are metadata only (jsonl indices, manifest.csv,
subject_crossref.csv, this notice and the dataset card).