Assessing deep learning methods for the identification of kidney stones in endoscopic images-Reference-Cited by-同舟云学术

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Assessing deep learning methods for the identification of kidney stones in endoscopic images

Published:2021-11-01 Issue: Volume: Page:
ISSN:
Container-title:2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Lopez Francisco,Varelo Andres,Hinojosa Oscar,Mendez Mauricio,Trinh Dinh-Hoan,ElBeze Yonathan,Hubert Jacques,Estrade Vincent,Gonzalez Miguel,Ochoa Gilberto,Daul Christian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9629355/9629471/09630211.pdf?arnumber=9630211

Cited by 26 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 metric learning approach for endoscopic kidney stone identification;Expert Systems with Applications;2024-12

2. Multimodal analysis of renal stones to explore new biomarkers of urolithiasis;Urology Herald;2024-09-05

3. Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Automated Kidney Stone Detection using Deep Learning Technique;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

5. On the In Vivo Recognition of Kidney Stones Using Machine Learning;IEEE Access;2024

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