[基于使用改进的RT-DETR模型的多尺度特征融合的高效轻量级皮肤病理检测方法]
Yuying Ren1, Lingxiao Huang1, Fang DU1
1School of Information Engineering, Ningxia University// Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West//Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Yinchuan 750021, China.
概括
这项研究引入了一种改进的RT-DETR模型,用于有效和准确地检测皮肤疾病. 改进后的模型实现了更高的准确性和更快的检测速度,同时显著减少了计算负载和参数.
科学领域:
- 皮肤病学 皮肤病学
- 计算机视觉 计算机视觉
- 人工智能的人工智能


