An optimized fusion of deep learning models for kidney stone detection from CT images-Reference-Cited by-同舟云学术

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An optimized fusion of deep learning models for kidney stone detection from CT images

Published:2024-09 Issue:7 Volume:36 Page:102130
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Asif Sohaib,Zheng Xiaolong,Zhu Yusen

Publisher

Elsevier BV

Reference38 articles.

1. Deep transfer learning approaches for Monkeypox disease diagnosis;Ahsan;Expert Syst. Appl.,2023

2. Kidney stone disease: an update on current concepts;Alelign;Advances in Urology,2018

3. Kidney tumor detection and classification based on deep learning approaches: A new dataset in CT scans;Alzu’bi;Journal of Healthcare Engineering,2022

4. Modeling a fine-tuned deep convolutional neural network for diagnosis of kidney diseases from CT images;Asif,2022

5. Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection;Asif;Neural Netw.,2023

Cited by 1 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. A Review on Kidney Stone Detection using ML and DL Techniques;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05

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