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TriConvUNeXt:一种纯粹的基于CNN的轻量级对称网络,用于生物医学图像分割

Chao Ma1, Yuan Gu2, Ziyang Wang3

  • 1Mianyang Visual Object Detection and Recognition Engineering Center, Mianyang, China.

Journal of imaging informatics in medicine
|April 23, 2024
PubMed
概括

一个新的TriConvUNeXt模型使用轻型卷积神经网络 (CNN) 增强了生物医学图像细分. 与现有方法相比,这种方法实现了具有竞争力的结果,计算成本明显降低.

关键词:
生物医学图像细分技术卷积神经网络是一个卷积神经网络.深度向上的卷积.图像语义细分 图像语义细分

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