iSegFormer: Interactive Image Segmentation with Transformers
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
- ViTMedIm
Abstract
We propose iSegFormer, a novel transformer-based approach for interactive image segmentation. iSegFormer is built upon existing segmentation transformers with user clicks as an additional input, allowing users to interactively and iteratively refine the segmentation mask.
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