Detection and Classification of Diabetic Macular Edema with a Desktop-Based Code-Free Machine Learning Tool

OBJECTIVES: To evaluate the effectiveness of the Lobe application, a machine learning (ML) tool that can be used on a personal computer without requiring coding expertise, in the recognition and classification of diabetic macular edema (DME) in spectral-domain optical coherence tomography (SD-OCT) s...

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Detalles Bibliográficos
Autores principales: Kırık, Furkan, Demirkıran, Büşra, Ekinci Aslanoğlu, Cansu, Koytak, Arif, Özdemir, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599341/
https://www.ncbi.nlm.nih.gov/pubmed/37868586
http://dx.doi.org/10.4274/tjo.galenos.2023.92635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599341/
https://www.ncbi.nlm.nih.gov/pubmed/37868586
http://dx.doi.org/10.4274/tjo.galenos.2023.92635

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