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MedOtter/ISPY1-Tumor-SEG-Radiomics

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Permissive or share-alike

The declared licence (cc-by-3.0) is classified as permissive.

Declared licence: cc-by-3.0, from the tagEvidence: README.md at dd4bbff
Licence files: No licence file at the top level of the repositoryEvidence: file list at dd4bbff
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

image-segmentation

Citation text from the card

> Chitalia R, Pati S, Bhalerao M, Thakur SP, Jahani N, Belenky V, McDonald ES, Gibbs J,
> Newitt DC, Hylton NM, Kontos D, Bakas S. Expert tumor annotations and radiomics for
> locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1. *Scientific Data* 9, 440
> (2022). doi:10.1038/s41597-022-01555-4

> Chitalia R, et al. (2021). Expert tumor annotations and radiomic features for the
> ISPY1/ACRIN 6657 trial data collection [Data set]. The Cancer Imaging Archive.
> doi:10.7937/TCIA.XC7A-QT20

> Newitt D, Hylton N, on behalf of the I-SPY 1 Network and ACRIN 6657 Trial Team (2016).
> Multi-center breast DCE-MRI data and segmentations from patients in the I-SPY 1/ACRIN
> 6657 trials [Data set]. The Cancer Imaging Archive. doi:10.7937/K9/TCIA.2016.HdHpgJLK

> Hylton NM, et al. Locally advanced breast cancer: MR imaging for prediction of response
> to neoadjuvant chemotherapy - results from ACRIN 6657/I-SPY TRIAL. *Radiology*
> 263(3):663-672 (2012). doi:10.1148/radiol.12110748

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dataset_licence({ "id": "MedOtter/ISPY1-Tumor-SEG-Radiomics" })
signal: "permissive"
stated_licence: "cc-by-3.0"
sources: 0