PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images

PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images

Abstract Retinal microaneurysm (MA) is a definite earliest clinical sigh of diabetic retinopathy (DR). Its automatic segmentation is key to realizing intelligent screening for early DR, which can significantly reduce the risk of visual impairment in patients. However, the minute scale and subtle con...

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Bibliographic Details
Main Authors: Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Image Processing
Subjects:
CAD
diseases
feature extraction
image processing
image segmentation
medical image processing
Online Access:https://doi.org/10.1049/ipr2.13275

Internet

https://doi.org/10.1049/ipr2.13275

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