ML-Unet: Performing Retinal Segmentation by Integrating Frequency Domain Information-Reference-Cited by-同舟云学术

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ML-Unet: Performing Retinal Segmentation by Integrating Frequency Domain Information

Published:2024-05-24 Issue: Volume: Page:304-308
ISSN:
Container-title:Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things
language:
Short-container-title:

Author:

Li Tianxiang¹^ORCID,Ma Hui¹^ORCID

Affiliation:

1. Heilongjiang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3670105.3670156

Reference18 articles.

1. J. J. Kanski, B. Bowling. 2015. Clinical Ophthalmology: A Systematic Approach. Amsterdam. The Netherlands: Elsevier.

2. J. Almotiri K. Elleithy. 2018. Retinal vessels segmentation techniques and algorithms: a survey. Applied Sciences (2018 January) 155. https://doi.org/10.3390/app8020155

3. N. Wang KF. Li. 2023. Improvement of Retinal Vessel Segmentation Method Based on U-Net. Electronics 12.2 (2023 September) 262. https://doi.org/10.1016/j.bspc.2023.105355

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