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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model.

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第一作者： Amal,Alshardan

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

作者： Amal,Alshardan ^[1] ; Nazir,Ahmad ^[2] ; Achraf Ben,Miled ^[3] ; Asma,Alshuhail ^[4] ; Yazeed,Alzahrani ^[5] ; Ahmed,Mahmud ^[6]

作者单位： Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[1] Department of Computer Science, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia. ^[2] Department of Computer Science, College of Science, Northern Border University, 73213, Arar, Saudi Arabia. ashraf.benmilad@nbu.edu.sa. ^[3] Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Al-Hofuf, Saudi Arabia. ^[4] Department of Computer Engineering, College of Engineering in Wadi Addawasir, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. ^[5] Research Center, Future University in Egypt, New Cairo, 11835, Egypt. ^[6]

关键词 Capsule network Coati optimization algorithm HAU-UNet Median filtering Mitotic nuclei

医学主题词人类(Humans);细胞核(Cell Nucleus);算法(Algorithms);有丝分裂(Mitosis);图像处理, 计算机辅助(Image Processing, Computer-Assisted);肿瘤(Neoplasms)

DOI 10.1038/s41598-024-80002-3

PMID 39702593

发布时间 2025-01-04

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准确一般字义偏差语意偏离译文作用小提交