Performance of automated machine learning in detecting fundus diseases based on ophthalmologic B-scan ultrasound images

Aim To evaluate the efficacy of automated machine learning (AutoML) models in detecting fundus diseases using ocular B-scan ultrasound images.Methods Ophthalmologists annotated two B-scan ultrasound image datasets to develop three AutoML models—single-label, multi-class single-label and multi-label—...

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Bibliographic Details
Main Authors: Chen Zhao, Rui Jiang, Qian Chen, Qiaoling Wei
Format: Article
Language:English
Published: BMJ Publishing Group 2024-12-01
Series:BMJ Open Ophthalmology
Online Access:https://bmjophth.bmj.com/content/9/1/e001873.full