Dilated dendritic learning of global-local feature representation for medical image segmentation

Zhipeng Liu, Yaotong Song, Junyan Yi, Zhiming Zhang, Masaaki Omura, Zhenyu Lei, Shangce Gao

Abstract: Highlights•We propose 3DL-Net for medical image segmentation.•We proposed a dilated conv-based module precise global features representation.•We proposed a dendritic learning-based module refine local features process.•Deep supervision & customized loss optimize training, capture fine-grained details.•Proposed method outperforms existing networks on multiple datasets.