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Data · dataset · 2023

Synthetic brain tumor images from GANs and diffusion models

Listed in Researchdata.se

This dataset is a collection of synthetic images generated by 5 generative models (Progressive GAN, StyleGAN1, StyleGAN2, StyleGAN3, diffusion model) trained on the BraTS 2020 and 2021 datasets [1,2,3,4,5] (which share MR volumes from brain tumor patients and the corresponding tumor annotations).

Description

The trained generative models are also shared in this dataset. See our recent work [6] for more information, and a comparison of training segmentation networks with real and synthetic images.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 65% · Image 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:doi-10-23698-aida-synthetic-brgandi/010 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:cancerenrichment · researchdata sekeyword-concept-rules@1.0.0title+description (65%)
concepts[field].local:field:earth-environmentalmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata sekeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/description
publication_datesource · researchdata seconnector:researchdata_se@1.0.0
titlesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/title