Blood Vessel Segmentation from Fundus Images Using Modified U-net Convolutional Neural Network-Reference-Cited by-同舟云学术

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

Published:2020 Issue:1 Volume:8 Page:21-25
ISSN:2301-3699
Container-title:Journal of Image and Graphics
language:
Short-container-title:JOIG

Author:

Joshua Afolabi O., ,Nelwamondo Fulufhelo V.,Mabuza-Hocquet Gugulethu

Publisher

EJournal Publishing

Subject

Microbiology

Link

http://www.joig.org/uploadfile/2020/0318/20200318051357978.pdf

Cited by 39 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. ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation;Expert Systems with Applications;2024-07

2. SE-Half-UNet: Accurate and Low-Cost Retinal Vessel Segmentation from Fundus Images;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

3. Segmentation of human olfactory bulb glomeruli on its phase-contrast tomographic images with neural networks;Sixteenth International Conference on Machine Vision (ICMV 2023);2024-04-03

4. Brain tumor image segmentation algorithm based on hybrid model feature extraction;Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023);2024-03-25

5. Dual-path U-transformer network for assessment of brain midline shift in hemorrhagic stroke;Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023);2024-03-25

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