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
: 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 image-segmentation-jupyter-notebook
: If you need to label your own data, Towards Data Science describes building a custom labeling tool directly within a single Jupyter notebook using transfer learning. image-segmentation-jupyter-notebook