A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images (MICCAI20223, paper link)
- You can refer to this link for generating boundaries from the ground truth mask of the organ you would like to segment.
- Please follow this reference regarding your original datasets for conversion, such as operations for resampling, cropping, and padding.
- Based on the settings in the options folder containing
yml
files, training and testing can be performed with or without using the boundary-aware regression auxiliary task. - For additional baseline models, please refer to this link.
- Chengyin Li, cyli@wayne.edu