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

Cite this as

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

DOI retrieved: December 2, 2024

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
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Hai Shu
Homepage https://github.com/JustaTinyDot/BiTr-Unet