Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy.

Pawan, S J; Sankar, Rahul; Jain, Anubhav; Jain, Mahir; Darshan, D V; Anoop, B N; Kothari, Abhishek R; Venkatesan, M; Rajan, Jeny

Pawan, S J; Sankar, Rahul; Jain, Anubhav; Jain, Mahir; Darshan, D V; Anoop, B N; Kothari, Abhishek R; Venkatesan, M; Rajan, Jeny.

Afiliação

Pawan SJ; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India. pawansnj03@gmail.com.
Sankar R; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Jain A; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Jain M; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Darshan DV; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Anoop BN; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Kothari AR; Pink City Eye and Retina Center, Jaipur, India.
Venkatesan M; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.
Rajan J; Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India.

Med Biol Eng Comput ; 59(6): 1245-1259, 2021 Jun.

Article em En | MEDLINE | ID: mdl-33988817

Assuntos

Coriorretinopatia Serosa Central; Coriorretinopatia Serosa Central/diagnóstico por imagem; Corioide/diagnóstico por imagem; Angiofluoresceinografia; Humanos; Líquido Sub-Retiniano/diagnóstico por imagem; Tomografia de Coerência Óptica

Palavras-chave

Capsule networks; Central serous chorioretinopathy; Convolutional neural network; Image segmentation; Optical coherence tomography

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coriorretinopatia Serosa Central Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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