arXivDaily arXiv每日学术速递 周一至周五更新

科学与医疗

医学 AI

医学智能、临床 AI、医学影像、病理、诊断和医疗健康大模型。

2026-05-18 至 2026-05-18 共收录 2 信号源:cs.CV, cs.LG, q-bio, eess.IV, eess.SP

1. 医学数据与评测 2 篇

2505.06982 2026-05-18 cs.CV 79%

Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis

去中心化LoRA增强变换器与多尺度特征学习用于安全眼疾诊断

Md. Naimur Asif Borno, Md Sakib Hossain Shovon, MD Hanif Sikder, Iffat Firozy Rimi, Tahani Jaser Alahmadi, Mohammad Ali Moni

机构 * organization= Research Assistant, The University of Queensland , addressline= 308 Queen St , city= Brisbane City , postcode= QLD 4000 , state= Queensland , country= Australia organization= Mechatronics Engineering, Rajshahi University of Engineering \& Technology , city= Rajshahi , postcode= 6204 , country= Bangladesh organization= Researcher, The University of Queensland , addressline= 308 Queen St , city= Brisbane City , postcode= QLD 4000 , state= Queensland , country= Australia organization= Department of Computer Science, American International University Bangladesh , city= Dhaka , postcode= 1216 , country= Bangladesh organization= Department of Computer Science, University of South Asia-Bangladesh , city= Dhaka , postcode= 1216 , country= Bangladesh organization= Department of Computer Science Engineering, Daffodil International University , city= Dhaka , country= Bangladesh Department of Information Systems, College of Computer Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia. Email organization= Faculty of Health, Medicine Behavioural Sciences, The University of Queensland , addressline= 308 Queen St , city= Brisbane City , postcode= QLD 4000 , state= Queensland , country= Australia Cyber Futures Institute Charles Sturt University , addressline= 308 Queen St , city= Bathurst NSW , country= Australia

专题命中 医学数据与评测 :diagnosis(title,abstract);分类 cs.CV

AI总结 本文提出一种高效图像变换器框架,结合多尺度特征学习、LoRA、知识蒸馏和联邦学习,解决医学影像中疾病诊断的准确性和隐私保护问题,实验表明其在AUC、F1分数和精度上优于传统CNN和现有Transformer架构。

Comments Published at Knowledge-Based Systems

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2605.16122 2026-05-18 cs.CV cs.AI 57%

GenShield: Unified Detection and Artifact Correction for AI-Generated Images

GenShield:面向AI生成图像的统一检测与伪影校正

Zhipei Xu, Xuanyu Zhang, Youmin Xu, Qing Huang, Shen Chen, Taiping Yao, Shouhong Ding, Jian Zhang

机构 * School of Electronic and Computer Engineering, Peking University(北京大学电子与计算机工程学院) Tencent Youtu Lab(腾讯优图实验室)

专题命中 医学数据与评测 :diagnosis(abstract);分类 cs.CV

AI总结 本文提出GenShield框架,通过闭环诊断与修复流程实现可解释的AI生成图像检测与可控伪影校正,结合视觉链式推理课程学习策略,提升校正效果与泛化能力。

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