Generative Adversarial Network Combined with SE-ResNet and Dilated Inception Block for Segmenting Retinal Vessels

This study develops an accurate method based on the generative adversarial network (GAN) that targets the issue of the current discontinuity of micro vessel segmentation in the retinal segmentation images. The processing of images has become increasingly efficient since the advent of deep learning m...

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Detalles Bibliográficos
Autores principales: Yue, Chen, Ye, Mingquan, Wang, Peipei, Huang, Daobin, Lu, Xiaojie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441346/
https://www.ncbi.nlm.nih.gov/pubmed/36072751
http://dx.doi.org/10.1155/2022/3585506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441346/
https://www.ncbi.nlm.nih.gov/pubmed/36072751
http://dx.doi.org/10.1155/2022/3585506

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