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Updated: Jul 15, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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使用具有循环学习速率的深度DenseNet来分类白细胞以识别白血病.

Essam H Houssein1, Osama Mohamed2, Nagwan Abdel Samee3

  • 1Faculty of Computers and Information, Minia University, Minia, Egypt.

Frontiers in oncology
|September 29, 2023
PubMed
概括

这项研究引入了使用DenseNet-161和循环学习率的深度学习方法,用于准确的白细胞 (WBC) 分类,在白血病检测中达到99.8%的准确性. 这种方法增强了血液学疾病的诊断能力.

关键词:
在DenseNet中,使用的是DenseNet.循环学习率是指循环的学习率.这种白血病是白血病.血清细胞是白细胞.转移学习转移学习

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相关概念视频

Classification of Leukocytes01:30

Classification of Leukocytes

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.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
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