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Updated: Jan 11, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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Published on: April 21, 2023

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混合框架用于图像伪造检测和使用视觉转换器和SVM对抗对手攻击的稳定性

Mohamed Abdelmaksoud1, Basheer Youssef2, Khaled Wassif2

  • 1Department of Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt. m.abdelmaksoud@grad.fci-cu.edu.eg.

Scientific reports
|November 18, 2025
PubMed
概括

这项研究引入了一种新的深度学习方法来检测被操纵的图像,它结合了视觉转换器 (ViT) 和支持矢量机 (SVM) 来准确地从伪造的照片中识别真实照片.

关键词:
敌对的攻击是敌对的攻击.对抗性的训练是对抗性的训练.伪造检测 伪造检测 伪造检测支持矢量机器 (SVM) 是一个支持矢量机器.视觉变压器 视觉变压器

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