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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Detalhes bibliográficos

Principais autores:	Mengchen Lin, Guidong Bao, Xiaoqian Sang, Yunfeng Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-04-01
coleção:	Sensors
Assuntos:	optical coherence tomography machine learning neural networks retinal fluid segmentation ophthalmic diseases
Acesso em linha:	https://www.mdpi.com/1424-8220/22/8/3055
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