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Updated: Feb 14, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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自动脑瘤分类和分级使用多尺度图形神经网络与空间时间变压器注意力通过MRI扫描

Somya Srivastava1, Parita Jain2, Sanjay Kr Pandey3

  • 1Department of Computer Science, ABES Engineering College, Ghaziabad, 201009, India.

Interdisciplinary sciences, computational life sciences
|June 5, 2025
PubMed
概括

本研究介绍了一种自动分类和分级诊断模型 (ACGDM),用于使用磁共振成像 (MRI) 检测脑瘤. 该模型达到99.8%的准确性,提高了诊断能力和患者的治疗结果.

关键词:
深度学习 (DL) 是指深度学习.磁共振成像 (MRI) 是一种磁共振成像.多模态MRI序列分类的分类.空间关系的空间关系.时间依赖性 时间依赖性

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