Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels.

Lu, Ye; Shen, Yutian; Xing, Xiaohan; Ye, Chengwei; Meng, Max Q-H

Lu, Ye; Shen, Yutian; Xing, Xiaohan; Ye, Chengwei; Meng, Max Q-H.

Afiliação

Lu Y; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Shen Y; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Xing X; Department of Electrical Engineering, The City University of Hong Kong, Hong Kong, China.
Ye C; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Meng MQ; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China; Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China; Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China. Elect

Comput Med Imaging Graph ; 105: 102199, 2023 04.

Article em En | MEDLINE | ID: mdl-36805709

Assuntos

Algoritmos; Tomografia de Coerência Óptica; Processamento de Imagem Assistida por Computador; Retina/diagnóstico por imagem; Aprendizado de Máquina Supervisionado

Palavras-chave

Distance transform map; Optical coherence tomography; Retinal layer segmentation; Semi-supervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia de Coerência Óptica Idioma: En Revista: Comput Med Imaging Graph Ano de publicação: 2023 Tipo de documento: Article

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