Dendritic Deep Learning for Medical Segmentation

Dear Editor, This letter presents a novel segmentation approach that leverages dendritic neurons to tackle the challenges of medical imaging seg-mentation.In this study,we enhance the segmentation accuracy based on a SegNet variant including an encoder-decoder structure,an upsampling index,and a deep supervision method.Furthermore,we introduce a dendritic neuron-based convolutional block to enable nonlinear feature mapping,thereby further improving the effective-ness of our approach.The proposed method is evaluated on medical imaging segmentation datasets,and the experimental results demon-strate that it is superior to state-of-the-art methods in terms of perfor-mance.