Yanwu Xu, Li Sun, Wei Peng, Shyam Visweswaran, Kayhan Batmanghelich
TL;DR基于文本信息和解剖组成的方法生成基于文本提示的图像,并应用于多种下游任务。
Abstract
This paper introduces an innovative methodology for producing high-quality 3D
lung CT images guided by textual information. While diffusion-based generative
models are increasingly used in medical imaging, current state-of-the-art
approaches are limited to low-resolution outputs and underutilize radiology
reports' abundant information. The radiology reports