Revisiting model scaling with a U-net benchmark for 3D medical image segmentation

Revisiting model scaling with a U-net benchmark for 3D medical image segmentation

Abstract Are larger models always better for 3D medical image segmentation? Despite the widespread adoption of 3D U-Net in various medical imaging tasks, this critical question remains underexplored. To challenge the common assumption, we systematically benchmark 18 U-Net variants—adjusting resoluti...

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Main Authors: Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Zhikai Yang, Yanzhou Su, Jie Liu, Tianbin Li, Yun Gu, Shaoting Zhang, Yu Qiao, Lixu Gu, Junjun He
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-15617-1
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https://doi.org/10.1038/s41598-025-15617-1

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