Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook-Reference-Cited by-同舟云学术

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Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook

Published:2018-07 Issue: Volume: Page:
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Container-title:2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Chudzik Piotr,Al-Diri Bashir,Caliva Francesco,Ometto Giovanni,Hunter Andrew

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8471725/8512178/08512354.pdf?arnumber=8512354

Cited by 10 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. Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy;Microscopy Research and Technique;2023-05-17

2. Spatial Attention Enhanced Network for Segmentation of Exudate;2022 IEEE Calcutta Conference (CALCON);2022-12-10

3. UNIConv: An enhanced U‐Net based InceptionV3 convolutional model for DR semantic segmentation in retinal fundus images;Concurrency and Computation: Practice and Experience;2022-06-13

4. Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18

5. Three-dimensional Medical Image Segmentation with SE-VNet Neural Networks;2021 3rd International Conference on Intelligent Medicine and Image Processing;2021-04-23

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