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Updated: Feb 24, 2026

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

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在MRI脑瘤细分中的基于变压器的架构:一篇评论

Chengcheng Jin1, Nor Safira Elaina Mohd Noor2, Theam Foo Ng3

  • 1School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, 14300, Penang, Malaysia; School of Electrical and Control Engineering, Ningxia Polytechnic University of Business and Technology, Yinchuan 750030, China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|February 22, 2026
PubMed
概括

视觉变压器 (ViT) 模型对质瘤MRI细分有希望. 这篇论文回顾了变压器变体,重点关注架构,自我注意力和补丁策略,以改进医疗图像分析.

关键词:
大脑瘤的细分 脑瘤的细分有效的自我注意力机制补丁的演变 补丁的演变变压器变压器变压器这就是U-Net.

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