2 papers
cs.CV2025
SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
Chao Fan, Xibin Jia, Anqi Xiao +6
Few-Shot Medical Image Segmentation (FSMIS) aims to segment novel classes of medical objects using only a few labeled images. Prototype-based methods have made significant progress…
eess.IV2024
SliceMamba with Neural Architecture Search for Medical Image Segmentation
Chao Fan, Hongyuan Yu, Yan Huang +3
Despite the progress made in Mamba-based medical image segmentation models, existing methods utilizing unidirectional or multi-directional feature scanning mechanisms struggle to e…