Jayesh Gangrade1, Rajit Kuthiala1, Shweta Gangrade2

  • 1Department of Artificial Intelligence & Machine Learning, School of Computer Science & Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India.

Scientific reports
|March 2, 2025
PubMed
概括

这项研究引入了一种先进的计算机辅助方法来分类宫状状细胞,这对于早期宫癌检测至关重要. 结合CNN,AlexNet和SqueezeNet的组合技术实现了94%的准确性,为资源有限的设置提供了一个有希望的工具.