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

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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Bibliographic Details
Main Authors: Matteo Interlenghi, Giancarlo Sborgia, Alessandro Venturi, Rodolfo Sardone, Valentina Pastore, Giacomo Boscia, Luca Landini, Giacomo Scotti, Alfredo Niro, Federico Moscara, Luca Bandi, Christian Salvatore, Isabella Castiglioni
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Diagnostics
Subjects:
age-related macular degeneration (AMD)
ultra-widefield (UWF)
fundus retinography (FRT)
artificial intelligence (AI)
machine learning (ML)
radiomics
Online Access:https://www.mdpi.com/2075-4418/13/18/2965

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https://www.mdpi.com/2075-4418/13/18/2965

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