Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. (arXiv:2201.03777v1 [eess.IV])

This paper proposes an adversarial learning based training approach for brain
tumor segmentation task. In this concept, the 3D segmentation network learns
from dual reciprocal adversarial learning approaches. To enhance the
generalization across the segmentation predictions and to make the segmentation
network robust, we adhere to the Virtual Adversarial Training approach by
generating more adversarial examples via adding some noise on original patient
data. By incorporating a critic that acts as a quantitative subjective referee,
the segmentation network learns from …

arxiv brain learning segmentation