A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes

This tutorial details the implementation of an end-to-end 3D spleen segmentation pipeline using MONAI and a 3D UNet model on the Medical Segmentation Decathlon Task09 dataset, utilizing volumetric CT scans. Key preprocessing steps include orientation alignment, voxel-spacing normalization, intensity windowing, foreground cropping, and patch-based sampling. This implementation is significant for practitioners as it demonstrates a structured approach to medical image segmentation, leveraging MONAI's capabilities for handling complex volumetric data.