Glaucoma Detection Using Clustering and Segmentation of the Optic Disc Region from Retinal Fundus Images-Reference-Cited by-同舟云学术

Glaucoma Detection Using Clustering and Segmentation of the Optic Disc Region from Retinal Fundus Images

Published:2023-02-02 Issue:2 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Guru Prasad M. S.^ORCID,Naveen Kumar H. N.,Raju K.,Santhosh Kumar D. K.,Chandrappa S.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01592-1.pdf

Reference22 articles.

1. Panwar, P, Gopal G (2016) Image segmentation using K-means clustering and thresholding. Image

2. Kumbhar, P. G., & Holambe, S. N. (2015). A review of image thresholding techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 5(6):160–163.

3. Dhanachandra, N., Manglem, K., & Chanu, Y. J. (2015). Image segmentation using K-means clustering algorithm and subtractive clustering algorithm. Procedia Computer Science, 54:764–771. https://doi.org/10.1016/j.procs.2015.06.090.

4. Chitade, A. Z., & Katiyar, S. K. (2010). Colour based image segmentation using k-means clustering. International Journal of Engineering Science and Technology, 2(10):5319–5325.

5. Jose A, Ravi S, Sambath M. Brain tumor segmentation using K -means clustering and Fuzzy C -means algorithm and its area calculation. Int J Innov Res Comput Commu Eng. 2014;2(2):3496–3501.

Cited by 23 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 multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening;Biomedical Signal Processing and Control;2024-12

2. Optimized Improved Random Forest-Fostered Glaucoma Detection from Fundus Retinal Images;International Journal of Pattern Recognition and Artificial Intelligence;2024-08-31

3. Integration of Computer Vision Techniques, UAV, and Metaverse Analysis to Uplift Healthcare Services;Advances in Medical Technologies and Clinical Practice;2024-08-06

4. Emerging Implications of Metaverse in the Healthcare Domain;Advances in Medical Technologies and Clinical Practice;2024-08-06

5. Issues and Challenges of Metaverse in the Healthcare Domain;Advances in Medical Technologies and Clinical Practice;2024-08-06