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 Pet Dataset. It demonstrates how to use the U-Net architecture to classify every pixel into categories like "pet," "border," or "surrounding". image-segmentation-jupyter-notebook

: CellPose with SimpleITK is an excellent resource for researchers needing to segment cells or nuclei in microscopy images. : For 3D MRI or CT scan segmentation,

: A great "recipe-style" tutorial for traditional computer vision methods. It uses the scikit-image library to demonstrate partitioning images into regions based on shared characteristics. Specialized & Advanced Use Cases : CellPose with SimpleITK is an excellent resource

: This comprehensive guide covers building and training a segmentation model from scratch. It focuses on the architectural details of U-Net and includes a walkthrough for creating custom PyTorch datasets.