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Updated: Jul 17, 2026

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使用深度学习神经网络在输出细胞学材料中识别恶性细胞

Parikshit Sanyal1, Pranab Dey2

  • 1Department of Laboratory Medicine, Command Hospital Chandimandir, Chandimandir, India.

Cytopathology : official journal of the British Society for Clinical Cytology
|June 23, 2023
PubMed
概括

一个深层卷积神经网络 (DCNN) 显示了在输出细胞学样本中检测恶性细胞的前景. 这种人工智能方法提供了快速,公正的分析,有可能提高癌症诊断的准确性.

关键词:
人工智能的人工智能是人工智能.人工神经网络的人工神经网络细胞科学细胞学深度卷积神经网络是一个深度卷积神经网络.输出 输出 输出 输出

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相关概念视频

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...