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BraTS2021

Anomaly detection is the process of identifying atypical data samples that significantly deviate from the majority of the dataset. In the realm of clinical screening and diagnosis, detecting abnormalities in medical images holds great importance.

Data and Resources

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Cite this as

Qiran Jia, Hai Shu (2024). Dataset: BraTS2021. https://doi.org/10.57702/croiys5z

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2304.01472
Citation	https://doi.org/10.48550/arXiv.2310.06420 https://doi.org/10.48550/arXiv.2308.16150
Author	Qiran Jia
More Authors	Hai Shu
Homepage	https://github.com/JustaTinyDot/BiTr-Unet