: A highly interactive notebook using the Oxford-IIIT Pet Dataset. It demonstrates how to use the U-Net architecture to classify every pixel into categories like "pet," "border," or "surrounding".
Several excellent resources provide step-by-step guides for implementing image segmentation within Jupyter Notebooks, ranging from foundational tutorials to specialized medical imaging applications. Top Recommendations image-segmentation-jupyter-notebook
: For 3D MRI or CT scan segmentation, NVIDIA's guide on Medical 3D Image Segmentation focuses on brain tumor prediction. : A highly interactive notebook using the Oxford-IIIT
