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Updated: Jan 25, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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可解释的混合深度学习框架集成MobileNetV2,EfficientNetV2B0和KNN用于基于MRI的脑瘤分类

Mohammed Jajere Adamu1,2, Li Qiang3, Charles Okanda Nyatega3,4

  • 1School of Microelectronics, Tianjin University, Tianjin, 300072, China. mainajajere@tju.edu.cn.

Cellular and molecular neurobiology
|January 23, 2026
PubMed
概括

这项研究引入了一种混合人工智能框架,用于使用MRI扫描进行脑瘤分类. 可解释模型达到99.69%的准确性,提供可靠和透明的诊断见解.

关键词:
大脑瘤是什么?在美国,CNN是CNN.分类 分类 分类 分类.有效网络V2B0可解释的人工智能在MRI影像中,可以看到MRI影像.移动网络V2 移动网络V2

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