发表机构
Institute of Science Tokyo; International University of Health and Welfare Ichikawa Hospital; AI Medical Service Inc.（东京理科大学; 国际医疗福祉大学市川医院; 人工智能医疗服务公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究提出虚拟增强染色内镜检查（V-ECE），结合虚拟染色内镜检查（V-CE）与图像增强技术，引入能根据用户可调增强水平生成V-ECE图像的模型，实验证明该模型可用统一模型生成不同增强水平图像，提高胃病变可见性。
AI 中文摘要
染色内镜检查（CE）是一种常见临床操作，将靛胭脂蓝染料喷洒在胃表面以提高胃病变（如早期癌症）的可见性。虽然CE在检测病变方面有效，但准备和喷洒染料需要额外成本和时间，对患者和医生都不利。为克服此问题，最近提出了虚拟染色内镜检查（V-CE），它应用学习到的图像翻译模型从标准内镜检查（SE）图像虚拟生成CE图像。本文提出将V-CE与图像增强技术相结合的虚拟增强染色内镜检查（V-ECE），以进一步提高胃病变的可见性。由于所需增强水平取决于检查的病变和医生的偏好，我们引入了一种新颖的图像翻译模型，可使用用户可调的增强水平生成V-ECE图像。实验结果表明，我们提出的模型可以使用统一模型合理地生成具有各种增强水平的V-ECE图像。
英文摘要
Chromoendoscopy (CE) is a common clinical practice that sprays indigo carmine blue dye onto the gastric surface to improve the visibility of gastric lesions, such as an early cancer. While CE is effective in detecting the lesions, preparing and spraying the dye needs additional cost and time, which is undesirable both for patients and medical practitioners. To overcome this issue, virtual chromoendoscopy (V-CE) was recently proposed, which applies a learned image translation model to virtually generate a CE image from a standard endoscopy (SE) image. In this paper, we propose virtual enhanced chromoendoscopy (V-ECE) that combines V-CE with image enhancement techniques to further improve the visibility of gastric lesions. Because a desired enhancement level depends on the inspected lesion and the practitioner's preference, we introduce a novel image translation model that can generate V-ECE images using an enhancement level tunable by a user. Experimental results demonstrate that our proposed model can plausibly generate V-ECE images with various enhancement levels using a unified model.
Comments7 pages, 8 figures. Accepted at EMBC 2026. Project page: http://www.ok.sc.e.titech.ac.jp/res/VIC/
