Research on segmentation of pterygium lesions based on convolutional neural networks

Research on segmentation of pterygium lesions based on convolutional neural networks

AIM: To study the precise segmentation of pterygium lesions using the convolutional neural networks from artificial intelligence.METHODS: The network structure of Phase-fusion PSPNet for the segmentation of pterygium lesions is proposed based on the PSPNet model structure. In our network, the up-sam...

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Bibliographic Details
Main Authors: Shao-Jun Zhu, Xin-Wen Fang, Bo Zheng, Mao-Nian Wu, Wei-Hua Yang
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2022-06-01
Series:Guoji Yanke Zazhi
Subjects:
pterygium
image segmentation
deep learning
convolutional neural networks
pspnet
Online Access:http://ies.ijo.cn/cn_publish/2022/6/202206026.pdf

Internet

http://ies.ijo.cn/cn_publish/2022/6/202206026.pdf

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