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...

书目详细资料
发表在:	Applied Sciences
Main Authors:	Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma
格式:	文件
语言:	英语
出版:	MDPI AG 2025-04-01
主题:	retinal OCT classification machine learning clinical utility SMOTE optimization logistic regression
在线阅读:	https://www.mdpi.com/2076-3417/15/9/4985

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