no code implementations • 5 May 2023 • Yuanyuan Peng, Pengpeng Luan, Zixu Zhang
To enrich contextual information for the loss of scene information compensation, an attention fusion mechanism that combines the channel attention with spatial attention mechanisms constructed by Transformer is employed to extract various features of blood vessels from retinal fundus images.
no code implementations • 18 Jan 2023 • Yuanyuan Peng, Lin Pan, Pengpeng Luan, Hongbin Tu, Xiong Li
Automatic segmentation of curvilinear objects in medical images plays an important role in the diagnosis and evaluation of human diseases, yet it is a challenging uncertainty in the complex segmentation tasks due to different issues such as various image appearances, low contrast between curvilinear objects and their surrounding backgrounds, thin and uneven curvilinear structures, and improper background illumination conditions.
no code implementations • 23 Jan 2022 • Yuanyuan Peng, Pengpeng Luan, Hongbin Tu, Xiong Li, Ping Zhou
Here, we adopt an ODoS filter by merging the orientation information and magnitude information to highlight structure features for fissure enhancement, which can effectively distinguish between pulmonary fissures and clutters.