A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes
Summary
<p>In this tutorial, we build an end-to-end 3D medical image segmentation pipeline using MONAI to segment the spleen on the Medical Segmentation Decathlon Task09 dataset. We work with volumetric CT scans, apply medical imaging transformations such as orientation alignment, voxel-spacing normalization, intensity windowing, foreground cropping, and patch-based sampling, and then train a 3D UNet model […]</p> <p>The post <a href="https://www.marktechpost.com/2026/06/12/a-coding-implementation-on-monai-for-end-to-end-3d-spleen-segmentation-using-unet-on-medical-ct-volumes/">A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>