Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics

This study presents a clinical utility-driven machine learning framework for retinal Optical Coherence Tomography classification, addressing challenges posed by manual interpretation variability and dataset heterogeneity. The methodology integrates biomimetic data partitioning, deep biomarker extrac...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	retinal OCT classification machine learning clinical utility SMOTE optimization logistic regression
Online Access:	https://www.mdpi.com/2076-3417/15/9/4985