Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images.

Singh, Law Kumar; Garg, Hitendra; Khanna, Munish

Singh, Law Kumar; Garg, Hitendra; Khanna, Munish.

Afiliación

Singh LK; Department of Computer Science and Engineering, Sharda University , Greater Noida, India.
Pooja; Department of Computer Science and Engineering, Hindustan College of Science and Technology, Mathura, India.
Garg H; Department of Computer Science and Engineering, Sharda University , Greater Noida, India.
Khanna M; Department of Computer Engineering and Applications, GLA University, Mathura, India.

Multimed Tools Appl ; 81(19): 27737-27781, 2022.

Article en En | MEDLINE | ID: mdl-35368855

Palabras clave

Convolution neural network; Deep learning; Efficient net; Glaucoma; Optical coherence tomography; VGG16

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Multimed Tools Appl Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

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