Deep-GA-Net for Accurate and Explainable Detection of Geographic Atrophy on OCT Scans

OBJECTIVE: To propose Deep-GA-Net, a 3-dimensional (3D) deep learning network with 3D attention layer, for the detection of geographic atrophy (GA) on spectral domain OCT (SD-OCT) scans, explain its decision making, and compare it with existing methods. DESIGN: Deep learning model development. PARTI...

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Detalles Bibliográficos
Autores principales: Elsawy, Amr, Keenan, Tiarnan D.L., Chen, Qingyu, Shi, Xioashuang, Thavikulwat, Alisa T., Bhandari, Sanjeeb, Chew, Emily Y., Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251072/
https://www.ncbi.nlm.nih.gov/pubmed/37304045
http://dx.doi.org/10.1016/j.xops.2023.100311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251072/
https://www.ncbi.nlm.nih.gov/pubmed/37304045
http://dx.doi.org/10.1016/j.xops.2023.100311

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