2 papers
eess.IV2024
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
Jing Xu
Although transformer is preferred in natural language processing, some studies has only been applied to the field of medical imaging in recent years. For its long-term dependency,…
cs.AI2024
MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation
Yanli Yuan, Bingbing Wang, Chuan Zhang +3
Segmentation of organs of interest in medical CT images is beneficial for diagnosis of diseases. Though recent methods based on Fully Convolutional Neural Networks (F-CNNs) have sh…