Classification of optical coherence tomography images using a capsule network

BACKGROUND: Classification of optical coherence tomography (OCT) images can be achieved with high accuracy using classical convolution neural networks (CNN), a commonly used deep learning network for computer-aided diagnosis. Classical CNN has often been criticized for suppressing positional relatio...

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Detalles Bibliográficos
Autores principales: Tsuji, Takumasa, Hirose, Yuta, Fujimori, Kohei, Hirose, Takuya, Oyama, Asuka, Saikawa, Yusuke, Mimura, Tatsuya, Shiraishi, Kenshiro, Kobayashi, Takenori, Mizota, Atsushi, Kotoku, Jun’ichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082944/
https://www.ncbi.nlm.nih.gov/pubmed/32192460
http://dx.doi.org/10.1186/s12886-020-01382-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082944/
https://www.ncbi.nlm.nih.gov/pubmed/32192460
http://dx.doi.org/10.1186/s12886-020-01382-4

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