Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI

arXiv:2405.04974v1 Announce Type: new
Abstract: Diffusion probabilistic models (DPMs) have exhibited significant effectiveness in computer vision tasks, particularly in image generation. However, their notable performance heavily relies on labelled datasets, which limits their application in medical images due to the associated high-cost annotations. Current DPM-related methods for lesion detection in medical imaging, which can be categorized into two distinct approaches, primarily rely on image-level annotations. The first approach, based on anomaly detection, involves learning reference healthy brain representations and identifying …

abstract annotations application arxiv brain computer computer vision cost cs.ai cs.cv current datasets detection diffusion diffusion models however image image generation images medical mri performance tasks type vision