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在医疗物联网中使用混合深度学习方法对皮肤病变进行细分和分类

Arslan Akram1,2, Javed Rashid2,3, Muhammad Arfan Jaffar1

  • 1Department of Computer Science and Information Technology, Superior University Lahore, Lahore, Pakistan.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
|November 27, 2023
PubMed
概括

本研究引入了用于高级皮肤病变分析的混合深度学习模型,在ISIC 2020数据集上实现了95.49%的细分精度和96.75%的细分精度. 这种方法提高了医疗物联网 (IoMT) 中的诊断能力.

关键词:
在2020年,ISIC将成为ISIC.医疗事物的互联网 医疗事物的互联网更多关于 MRCNNN 的文章在ResNet50中使用ResNet50深度学习是一种深度学习.黑色素瘤是一种皮肤癌.

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