Kidney MRI Segmentation for Lesion Detection Using Clustering with Slime Mould Algorithm-Reference-Cited by-同舟云学术

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Kidney MRI Segmentation for Lesion Detection Using Clustering with Slime Mould Algorithm

Published:2021-12-01 Issue: Volume: Page:
ISSN:
Container-title:2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON)
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Author:

Si Tapas¹^ORCID,Nayak Somen²,Sarkar Achyuth³^ORCID

Affiliation:

1. Bankura Unnayani Institute of Engineering,Department of Computer Science & Engineering,Bankura,West Bengal,India,722146

2. University of Engineering & Management,Department of Computer Science & Engineering,Jaipur,Rajasthan,India

3. National Institute of Technology,Department of Computer Science & Engineering,Arunachal Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688563/9689073/09689104.pdf?arnumber=9689104

Reference29 articles.

1. Renal compartment segmentation in DCE-MRI images

2. A renal vascular compartment segmentation method based on dynamic contrast-enhanced images

3. Automatic Kidney Segmentation Using Gaussian Mixture Model on MRI Sequences

4. Kidney Lesion Segmentation in MRI Using Clustering with Salp Swarm Algorithm

5. Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants

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. Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications;Archives of Computational Methods in Engineering;2023-01-12

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