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RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI.

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第一作者： Ahmed,Alsayat

第一单位： Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia.

作者： Ahmed,Alsayat ^[1] ; Ayman Mohamed,Mostafa ^[2] ; Mahmoud,Elmezain ^[3] ; Malak,Alamri ^[1] ; Madallah,Alruwaili ^[4] ; Mashail N,Alkhomsan ^[5] ; Menwa,Alshammeri ^[1] ; Mohamed,Ezz ^[1] ; Saleh,Alharbi ^[6] ; Elsayed,Mostafa ^[7] ; Wael,Said ^[8]

作者单位： Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. ^[1] Information Systems Department, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. amhassane@ju.edu.sa. ^[2] Computer Science Department, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. ^[3] Department of Computer Engineering & Networks, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. ^[4] Software Engineering Department, College of Computer and Information Sciences, Jouf University, Sakaka, 72388, Saudi Arabia. ^[5] College of Science and Humanities - Dawadmi, Computer Science Department, Shaqra University, Shaqra, 11911, Saudi Arabia. ^[6] Engineering & Research International (ERI), Riyadh, Saudi Arabia. ^[7] Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, 44511, Egypt.;Computer Science Department, College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia. ^[8]

关键词 Data imputation Feature augmentation Image synthesis Lesion segmentation Multiple sclerosis (MS)

医学主题词人类(Humans);多发性硬化(Multiple Sclerosis);磁共振成像(Magnetic Resonance Imaging);图像处理, 计算机辅助(Image Processing, Computer-Assisted);脑(Brain);算法(Algorithms)

DOI 10.1038/s41598-025-27787-z

PMID 41402470

发布时间 2025-12-19

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