A Radiomic-Based Machine Learning System to Diagnose Age-Related Macular Degeneration from Ultra-Widefield Fundus Retinography

The present study was conducted to investigate the potential of radiomics to develop an explainable AI-based system to be applied to ultra-widefield fundus retinographies (UWF-FRTs) with the objective of predicting the presence of the early signs of Age-related Macular Degeneration (AMD) and stratif...

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Detalles Bibliográficos
Autores principales: Interlenghi, Matteo, Sborgia, Giancarlo, Venturi, Alessandro, Sardone, Rodolfo, Pastore, Valentina, Boscia, Giacomo, Landini, Luca, Scotti, Giacomo, Niro, Alfredo, Moscara, Federico, Bandi, Luca, Salvatore, Christian, Castiglioni, Isabella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528426/
https://www.ncbi.nlm.nih.gov/pubmed/37761333
http://dx.doi.org/10.3390/diagnostics13182965

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528426/
https://www.ncbi.nlm.nih.gov/pubmed/37761333
http://dx.doi.org/10.3390/diagnostics13182965

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