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Revolutionizing AMD detection Bi model CNNs and hybrid feature selection for automated grading.

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第一作者： Jamal,Alsamri

第一单位： Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.

作者： Jamal,Alsamri ^[1] ; Mohammad,Alamgeer ^[2] ; Ali,Alqazzaz ^[3] ; Yahia,Said ^[4] ; Asma,Alshuhail ^[5] ; Menwa,Alshammeri ^[6] ; Abdulwhab,Alkharashi ^[7] ; Hassan,Alkhiri ^[8]

作者单位： Department of Biomedical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. ^[1] Department of Information Systems, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia. ^[2] Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia. ^[3] Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, 73213, Saudi Arabia. Yahia.said@nbu.edu.sa. ^[4] Department of Information Systems, College of Computer Sciences & Information Technology, King Faisal University, Al Hofuf, Saudi Arabia. ^[5] Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia. ^[6] Department of Computer Science, College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia. ^[7] Department of Computer Science, Faculty of Computing and Information Technology, Al- Baha University, Al Baha, Saudi Arabia. ^[8]

关键词 Adaptive contrast enhancement algorithm (CLAHE)Age-Related macular degeneration Bi-Model convolutional neural networks Fundus images Gamma correction Hybrid feature selection Preprocessing techniques

医学主题词黄斑变性(Macular Degeneration);人类(Humans);算法(Algorithms);眼底(Fundus Oculi);图像处理, 计算机辅助(Image Processing, Computer-Assisted);老年人(Aged);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted)

DOI 10.1038/s41598-025-16586-1

PMID 41083560

发布时间 2025-10-16

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