相关数据集
BTCV dataset
LKDA-Net: 基于大核深度可分离卷积注意力的高效3D医学图像分割模型 LKDA-Net 是一种轻量化的3D医学图像分割网络，通过 大核深度可分离卷积注意力（LKD Attention） 和 跳跃连接融合模块，在降低计算复杂度的同时实现高精度分割。本仓库提供完整的训练、推理及可视化代码。 We propose a lightweight th
Figshare2025-05-16 更新160
Deciphering the gut microbiome of grass carp through multi-omics approach
We attempted to construct metagenome-assembled genomes (MAGs) from the fish gut based on metagenomic data and assembled a total of 129 high-quality MAGs (Completeness >80% and contamination <10%
Figshare2023-03-29 更新40
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 convoluti
Figshare2025-05-16 更新30
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. Th
Figshare2025-05-16 更新90
Multi-biosensing hairband system
The data supporting the findings of multi-biosensing hairband system
Figshare2025-07-03 更新30
