Multi-threshold image segmentation based on an improved whale optimization algorithm: A case study of Lupus Nephritis-Reference-Cited by-同舟云学术

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Multi-threshold image segmentation based on an improved whale optimization algorithm: A case study of Lupus Nephritis

Published:2024-10 Issue: Volume:96 Page:106492
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Shi Jinge^ORCID,Chen Yi^ORCID,Cai Zhennao,Heidari Ali Asghar,Chen Huiling^ORCID,Chen Xiaowei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Reference113 articles.

1. Inhibition of endogenous hydrogen sulfide production exacerbates the inflammatory response during urine-derived sepsis-induced kidney injury;Qiu;Exp. Ther. Med.,2018

2. Artificial intelligence in renal pathology: current status and future;Feng;Biomol. Biomed.,2023

3. Artificial intelligence: the next frontier in kidney biopsy evaluation;Hou;Clin. J. Am. Soc. Nephrol.,2020

4. AI applications in renal pathology;Huo;Kidney Int.,2021

5. Predicting kidney survival in lupus nephritis by adding clinical data to pathologic features;Saxena;Kidney,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data and knowledge-driven dual surrogate-assisted multi-objective rough fuzzy clustering algorithm for image segmentation;Engineering Applications of Artificial Intelligence;2024-11

2. Multi-threshold image segmentation using new strategies enhanced whale optimization for lupus nephritis pathological images;Displays;2024-09

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