Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images

Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images

With non-invasive and high-resolution properties, optical coherence tomography (OCT) has been widely used as a retinal imaging modality for the effective diagnosis of ophthalmic diseases. The retinal fluid is often segmented by medical experts as a pivotal biomarker to assist in the clinical diagnos...

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Bibliographic Details
Main Authors: Mengchen Lin, Guidong Bao, Xiaoqian Sang, Yunfeng Wu
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
optical coherence tomography
machine learning
neural networks
retinal fluid segmentation
ophthalmic diseases
Online Access:https://www.mdpi.com/1424-8220/22/8/3055

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