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Updated: Jun 2, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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CAE-ResVGG FusionNet:一个特征提取框架,集成卷积自编码器和转移学习,用于急性髓性白血病中不成熟的白细胞

Tusneem Elhassan1, Ahmed Hamza Osman2, Mohd Shafry Mohd Rahim3,4

  • 1Cancer Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia.

Heliyon
|October 10, 2024
PubMed
概括

一个新的AI框架,CAE-ResVGG FusionNet,通过分析不成熟的白细胞 (WBCs) 准确检测和分类急性髓性白血病 (AML). 这种自动化系统为手动诊断提供了一个更快,更可靠的替代方案,以改善患者的治疗结果.

关键词:
急性骨髓性白血病 (AML) 是一种急性骨髓性白血病.自动编码器自动编码器癌症 癌症 癌症 癌症计算机辅助诊断模型模型没有成熟的白细胞.这就是ResNet ResNet.在VGG19中,VGG19在VGG19中.血液涂抹 显微镜图像 血液涂抹 显微镜图像图像的分类图像的分类.

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