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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...
Gardado en:
| Publicado en: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Assuntos: | |
| Acceso en liña: | 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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