FusionINN: Invertible Image Fusion for Brain Tumor Monitoring

arXiv:2403.15769v1 Announce Type: cross
Abstract: Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image. However, for clinical experts, solely relying on fused images may be insufficient for making diagnostic decisions, as the fusion mechanism blends features from source images, thereby making it difficult to interpret the underlying tumor pathology. We introduce FusionINN, a novel invertible image fusion framework, capable of efficiently generating fused images and also decomposing them back to the source …

abstract arxiv brain clinical cs.ai cs.cv cs.lg decisions diagnostic eess.iv experts features fusion however image images making merge monitoring multiple networks neural networks type