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Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
March 12, 2024, 4:48 a.m. | Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advances in text-conditioned image generation diffusion models have begun paving the way for new opportunities in modern medical domain, in particular, generating Chest X-rays (CXRs) from diagnostic reports. Nonetheless, to further drive the diffusion models to generate CXRs that faithfully reflect the complexity and diversity of real data, it has become evident that a nontrivial learning approach is needed. In light of this, we propose CXRL, a framework motivated by the potential of reinforcement …
abstract advances arxiv begun complexity cs.cv diagnostic diffusion diffusion models diversity domain drive generate image image generation medical modern opportunities policy ray reinforcement reinforcement learning reports text the way type x-ray
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