A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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Updated
Jul 25, 2024 - Python
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
We provide a method to extract the tractographic features from structural MR images for patients with brain tumor
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 training our dataset.
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