Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning. (arXiv:2208.12781v1 [cs.CV])

Due to the difficulties of obtaining multimodal paired images in clinical
practice, recent studies propose to train brain tumor segmentation models with
unpaired images and capture complementary information through modality
translation. However, these models cannot fully exploit the complementary
information from different modalities. In this work, we thus present a novel
two-step (intra-modality and inter-modality) curriculum disentanglement
learning framework to effectively utilize privileged semi-paired images, i.e.
limited paired images that are only available in training, for brain tumor
segmentation. Specifically, …

arxiv brain curriculum cv images learning segmentation