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轻量级进化U-Net用于下一代生物医学成像

Furkat Safarov1, Ugiloy Khojamuratova2, Misirov Komoliddin3

  • 1Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam-si 461701, Republic of Korea.

Diagnostics (Basel, Switzerland)
|May 14, 2025
PubMed
概括

这项研究引入了一种新的,轻量级的U-Net模型,用于在生物医学图像中准确地细分细胞核. 高效的架构实现了高性能,使其适合临床诊断和研究.

关键词:
生物医学图像分析分析计算效率的计算效率医疗图像细分 医疗图像细分核的细分 核的细分

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