首页> Scientific reports> Advanced deep feature engineering with crayfish optimization for diabetes detection using tongue images.

Advanced deep feature engineering with crayfish optimization for diabetes detection using tongue images.

导出 LinkOut

翻译打印收藏纠错

第一作者： Ghada Moh Samir,Elhessewi

第一单位： Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

作者： Ghada Moh Samir,Elhessewi ^[1] ; Mukhtar,Ghaleb ^[2] ; Hany,Mahgoub ^[3] ; Achraf Ben,Miled ^[4] ; Nojood O,Aljehane ^[5] ; Mohammed Yahya,Alzahrani ^[6] ; Hamad,Almansour ^[7] ; Sultan,Alanazi ^[8]

作者单位： Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[1] College of Computing and Information Technology, University of Bisha, 61922, Bisha, Saudi Arabia. ^[2] Department of Computer Science, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia. ^[3] Department of Computer Science, College of Science, Northern Border University, 73213, Arar, Saudi Arabia. ashraf.benmilad@nbu.edu.sa. ^[4] Department of Computer Science, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia. ^[5] Faculty of Computing and Information, Al-Baha University, Al Bahah, Saudi Arabia. ^[6] Applied College, Najran University, Najran, Saudi Arabia. ^[7] Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, 16273, Al-Kharj, Saudi Arabia. ^[8]

关键词 Biomedical imaging Crayfish optimization algorithm Diabetes mellitus Feature engineering Temporal convolutional network Tongue images

医学主题词舌(Tongue);人类(Humans);糖尿病(Diabetes Mellitus);螯虾总科(Astacoidea);动物(Animals);图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms)

DOI 10.1038/s41598-025-14780-9

PMID 41022952

发布时间 2025-10-03

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交