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Updated: Jun 28, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

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[基于3D-UNet的磁共振成像的全自动质瘤细分算法,具有更多的全球上下文特征提取:对全球特征的不足提取的改进]

Hengyi Tian1, Yu Wang1, Yarong Ji1

  • 1（ 100048） School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
|April 22, 2024
PubMed
概括

本研究介绍了3DGE-UNet模型,通过有效地整合全球和本地特征来提高脑瘤细分的准确性. 新模型显著改善了整个瘤,瘤核心的细分,并在MRI扫描中增强瘤区域.

关键词:
人工智能的人工智能是人工智能.计算机辅助的计算机辅助.质瘤是一种质瘤.图像处理 图像处理磁共振成像技术 磁共振成像技术

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