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Updated: Jun 29, 2025

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DLBCNet:用于分类血液细胞的深度学习网络

Ziquan Zhu1, Zeyu Ren1, Siyuan Lu1

  • 1School of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, UK.

Big data and cognitive computing
|April 1, 2024
PubMed
概括

这项研究介绍了DLBCNet,这是一种用于多类血细胞分类的新型深度学习网络. 该模型实现了高精度,证明了血液细胞分析性能的提高.

关键词:
在 ResNet50 中,ResNet50 提供了更多信息.血液细胞 细胞 血细胞生成性的对抗性网络.随机化神经网络是一种随机化的神经网络.

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Classification of Leukocytes01:30

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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
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