Corneal Endothelial Cell Segmentation with Multiple Long-range Dependencies-Reference-Cited by-同舟云学术

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Corneal Endothelial Cell Segmentation with Multiple Long-range Dependencies

Published:2023-11-09 Issue: Volume: Page:1-1
ISSN:
Container-title:Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering
language:
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Author:

Zeng Lingxi¹^ORCID,Zhang Yinglin²^ORCID,Higashita Risa¹^ORCID,Liu Jiang¹^ORCID

Affiliation:

1. Southern University of Science and Technology, China

2. University of Nottingham Ningbo China, China

Funder

Shenzhen Natural Science Fund

General Program of National Natural Science Foundation of China

Guangdong Provincial Department of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637732.3637778

Reference24 articles.

1. Blood Vessel Segmentation from Fundus Images Using Modified U-net Convolutional Neural Network

2. A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology

3. Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

4. A. Almustofa A. Handayani and T. Mengko. 2022. Optic Disc and Optic Cup Segmentation on Retinal Image Based on Multimap Localization and U-Net Convolutional Neural Network. Journal of Image and Graphics 10 (01 2022). https://doi.org/10.18178/joig.10.3.109-115

5. Abhishek Chaurasia and Eugenio Culurciello. 2017. LinkNet: Exploiting encoder representations for efficient semantic segmentation. In 2017 IEEE Visual Communications and Image Processing (VCIP). 1–4. https://doi.org/10.1109/VCIP.2017.8305148

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