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MONAI Tutorial: End-to-End 3D Spleen Segmentation with UNet

By PulseAugur Editorial · [1 sources] ·

This tutorial demonstrates an end-to-end 3D medical image segmentation pipeline using the MONAI framework. It focuses on segmenting the spleen from CT volumes using a 3D UNet model. The process involves extensive medical imaging transformations, mixed-precision training, and sliding-window inference for accurate prediction. AI

RANK_REASON The item describes a tutorial and coding implementation for a specific medical imaging task using an established framework and model. [lever_c_demoted from research: ic=1 ai=1.0]

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MONAI Tutorial: End-to-End 3D Spleen Segmentation with UNet

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The item describes a tutorial and coding implementation for a specific medical imaging task using an established framework and model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Sana Hassan ·

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

    <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-…

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