DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage

PURPOSE: To report an image analysis pipeline, DDLSNet, consisting of a rim segmentation (RimNet) branch and a disc size classification (DiscNet) branch to automate estimation of the disc damage likelihood scale (DDLS). DESIGN: Retrospective observational. PARTICIPANTS: RimNet and DiscNet were devel...

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Detalles Bibliográficos
Autores principales: Rasheed, Haroon Adam, Davis, Tyler, Morales, Esteban, Fei, Zhe, Grassi, Lourdes, De Gainza, Agustina, Nouri-Mahdavi, Kouros, Caprioli, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Artificial Intelligence and Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813574/
https://www.ncbi.nlm.nih.gov/pubmed/36619716
http://dx.doi.org/10.1016/j.xops.2022.100255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813574/
https://www.ncbi.nlm.nih.gov/pubmed/36619716
http://dx.doi.org/10.1016/j.xops.2022.100255

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