ACDC dataset

The dataset used for the LKDA-Net model experiment. We propose a lightweight three-dimensional convolutional network, LKDA-Net, for efficient and accurate three-dimensional volumetric segmentation. This network adopts a large-kernel depthwise convolution attention mechanism to simulate the self-attention mechanism of Transformers. Our paper utilizes three publicly available datasets for medical image segmentation, namely: Synapse, ACDC, and BTCV. Specific descriptions of these datasets are provided in the "Experiments and Results" section of this paper.