This is a PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework":
- We refer to the Diffae for diffusion-based self-supervised training and feature extraction.
- We release a demo in Jupyter Notebook ABAL Sampler. More comparative sampling methods could be found in Comparative Samplers.
If you have any question, please email to me lhqu20@fudan.edu.cn.