Towards Generalizable Tumor Synthesis

arXiv:2402.19470v1 Announce Type: cross
Abstract: Tumor synthesis enables the creation of artificial tumors in medical images, facilitating the training of AI models for tumor detection and segmentation. However, success in tumor synthesis hinges on creating visually realistic tumors that are generalizable across multiple organs and, furthermore, the resulting AI models being capable of detecting real tumors in images sourced from different domains (e.g., hospitals). This paper made a progressive stride toward generalizable tumor synthesis by leveraging a critical observation: early-stage …

abstract ai models artificial arxiv cs.cv detection eess.iv images medical multiple segmentation success synthesis training tumors type