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Updated: Jun 19, 2026

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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为胎儿大脑MRI图像细分优化基于变压器的模型的性能

Nicolò Pecco1, Pasquale Anthony Della Rosa1, Matteo Canini1

  • 1From the Neuroradiology Unit and CERMAC (N.P., P.A.D.R., M. Canini, G.N., A.F., A.C., C.B.) and Departments of Nuclear Medicine (P.S.) and Obstetrics and Gynecology (P.I.C., M. Candiani), IRCCS Ospedale San Raffaele, Via Olgettina 58-60, 20132 Milan, Italy; and Vita-Salute San Raffaele University, Milan, Italy (N.P., G.N., M. Candiani, A.F., A.C.).

Radiology. Artificial intelligence
|June 26, 2024
PubMed
概括

这项研究表明,像Swin-UNETR这样的变压器模型可以灵活地从MRI中提取胎儿的大脑,在较小的数据集和更晚的怀孕阶段表现良好.

关键词:
在美国,CNN是CNN.数据集大小 数据集大小输入大小 输入大小这就是为什么MRI是MRI.医疗成像细分 医疗成像细分转移学习转移学习变压器 变压器 变压器

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