Kidney Lesion Segmentation in MRI Using Clustering with Salp Swarm Algorithm-Reference-Cited by-同舟云学术

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Kidney Lesion Segmentation in MRI Using Clustering with Salp Swarm Algorithm

Published:2021 Issue: Volume: Page:93-105
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
Short-container-title:

Author:

Si Tapas

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4604-8_7

Reference26 articles.

1. Luyckx VA, Tonelli M, Stanifer JW (2018) The global burden of kidney disease and the sustainable development goals. Bull World Health Organ 96:414–422D. https://doi.org/10.2471/BLT.17.206441

2. Cova MA, Cavallaro M, Martingano P, Ukmar M (2011) Magnetic resonance imaging of the kidney. In: Quaia E (ed) Radiological imaging of the kidney. Medical radiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87597-0_6

3. Martlin-Fernlandez M, Alberola-Llopez C (2005) An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours. Med Image Anal 9:1–23

4. Li L, Ross P, Kruusmaa M, Zheng X (2011) A comparative study of ultrasound image segmentation algorithms for segmenting kidney tumors. In: Proceedings of the 4th international symposium on applied sciences in biomedical and communication technologies. Article no 126, pp 1–5. https://doi.org/10.1145/2093698.2093824

5. Kim D-Y, Park J-W (2004) Computer-aided detection of kidney tumor on abdominal computed tomography scans. Acta Radiol 45(7):791–795

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. A Clustering Algorithm Employing Salp Swarm Algorithm and K-Means;2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA);2024-03-01

2. Kidney MRI Segmentation for Lesion Detection Using Clustering with Slime Mould Algorithm;2021 10th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON);2021-12-01

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