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GitHub topics: brats18
faizan1234567/BraTS23-Tumors-Segmentation
Brain tumors segmentation on 3D MRI images. The model has been trained on BratTS20 and BraTS21 datasets, and now working with BraTS23.
Language: Python - Size: 31.6 MB - Last synced: about 14 hours ago - Pushed: about 15 hours ago - Stars: 29 - Forks: 2
hellopipu/brats17
Cascaded Anisotropic CNN for Automatic Brain Tumor Segmentation
Language: Python - Size: 337 KB - Last synced: 11 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 5
AHMEDSANA/Binary-Class-Brain-Tumor-Segmentation-Using-UNET
We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.
Language: Jupyter Notebook - Size: 64.5 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
afiliot/BRATS-preprocessing
Reproduce BRATS preprocessing for a given patient (needed: 4 modalities T1, T2, T1c and FLAIR, optional: segmentation).
Language: Shell - Size: 3.91 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0
