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混合深度学习框架用于使用CNN和变压器架构对形态上相似的Puffball物种进行高精度分类

Eda Kumru1, Güney Ugurlu2, Mustafa Sevindik3

  • 1Graduate School of Natural and Applied Sciences, Ankara University, Ankara 06830, Türkiye.

Biology
|July 29, 2025
PubMed
概括

深度学习准确地分类了具有挑战性的气球真菌. ConvNeXt-Base模型的准确性达到95.41%,有助于识别视觉相似的物种,并支持识别系统.

关键词:
这是一个CNN-变压器混合动力.深度学习是一种深度学习.菌类的分类是真菌的分类.图像的分类图像的分类.球球是什么意思 球球

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