Dyno-Net: A Dynamic Feature Extraction Model for Gastrointestinal Polyp Detection

作者: Zijie Song, Jingjing Wan, Xianchun Meng, Qingye Hua, Wenjie Zhu, Bolun Chen, Wei Shao

摘要

Gastrointestinal polyps are precursors to colorectal cancer, underscoring the need for accurate early detection. We propose Dyno-Net, a dynamic feature extraction framework integrating multi-scale fusion (DynoFPN), adaptive convolution (DynoConv), and boundary refinement (RefineDet_LSCSBD), achieving 23.5

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