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Related Experiment Video

Updated: May 25, 2025

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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[Study on lightweight plasma recognition algorithm based on depth image perception].

Hanwen Zhang1, Yu Sun1,2, Hao Jiang1

  • 1Engineering Laboratory of Advanced In Vitro Diagnostic Technology Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, Jiangsu 215163, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|February 25, 2025
PubMed
Summary
This summary is machine-generated.

A new deep learning model for plasma quality detection achieves 98.7% accuracy, improving recognition of potentially harmful hemolytic plasma and preventing related illnesses.

Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence in Medicine
  • Medical Diagnostics
Keywords:
Omni-dimensional dynamic convolutionPooling separable kernel attentionRe-parameterization convolutionResidual bifusion feature pyramid network

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