DME-DeepLabV3+: a lightweight model for diabetic macular edema extraction based on DeepLabV3+ architecture

DME-DeepLabV3+: a lightweight model for diabetic macular edema extraction based on DeepLabV3+ architecture

IntroductionDiabetic macular edema (DME) is a major cause of vision impairment in the patients with diabetes. Optical Coherence Tomography (OCT) is an important ophthalmic imaging method, which can enable early detection of DME. However, it is difficult to achieve high-efficiency and high-precision...

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Bibliographic Details
Main Authors: Yun Bai, Jing Li, Lianjun Shi, Qin Jiang, Biao Yan, Zhenhua Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Medicine
Subjects:
diabetic macular edema
optical coherence tomography
deep learning
DeepLabV3+
extraction model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1150295/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1150295/full

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