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Brain Tumor Segmentation

26
10
Image Analysis
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Step 1: Upload your data

Select Images to Segment

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  • Your file can be in the following formats:nii, gz
    • dataStructure
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Use our demo data to run
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Step 2: Complete run profile

Segmentation of possible glioma tumours and edemas on brain MRI scans using a pre-trained nnU-Net architecture. Given an MRI scan in .NIfTI format, this app will return your MRI scans with glioma and edema regions highlighted, available for download.

Data requirements: Brain tumor MRI scans, with four MRI modalities as T1w, t1gd, T2w, and FLAIR.

Citation:
Isensee, F., Jaeger, P.F., Kohl, S.A.A. et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods 18, 203–211 (2021).
Released:
Jun-27-2022
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