Microaneurysms segmentation with a U-Net based on recurrent residual convolutional neural network

Microaneurysms (MAs) play an important role in the diagnosis of clinical diabetic retinopathy at the early stage. Annotation of MAs manually by experts is laborious and so it is essential to develop automatic segmentation methods. Automatic MA segmentation remains a challenging task mainly due to th...

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Bibliographic Details
Published in:J Med Imaging (Bellingham)
Main Authors: Kou, Caixia, Li, Wei, Liang, Wei, Yu, Zekuan, Hao, Jianchen
Format: Artigo
Language:Inglês
Published: Society of Photo-Optical Instrumentation Engineers 2019
Subjects:
Image-Guided Procedures, Robotic Interventions, and Modeling
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6582229/
https://ncbi.nlm.nih.gov/pubmed/31259200
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.2.025008
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