Vision-Language Generative Model for View-Specific Chest X-ray Generation

arXiv:2302.12172v5 Announce Type: replace-cross
Abstract: Synthetic medical data generation has opened up new possibilities in the healthcare domain, offering a powerful tool for simulating clinical scenarios, enhancing diagnostic and treatment quality, gaining granular medical knowledge, and accelerating the development of unbiased algorithms. In this context, we present a novel approach called ViewXGen, designed to overcome the limitations of existing methods that rely on general domain pipelines using only radiology reports to generate frontal-view chest X-rays. Our approach takes into consideration …

abstract algorithms arxiv clinical context cs.cv cs.lg data data generation development diagnostic domain eess.iv generative healthcare knowledge language medical medical data novel quality ray synthetic tool treatment type unbiased view vision vision-language x-ray