Network architecture optimization for ophthalmic ultrasound image detection based on modular ablation of multi-version YOLO

This study validates the feasibility of cross-version module combination. The proposed framework offers a systematic, quantitative decision-making basis for network design in ophthalmic ultrasound, balancing accuracy, speed, and deployment feasibility. Clinical results confirm high consistency between automatic and manual measurements, supporting automated and precise ocular biometry.

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Publication Details

Journal
BioMedical Engineering OnLine
Published
2025-10-14
DOI
https://doi.org/10.1186/s12938-025-01459-5
Citations
1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
1.36
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article

Network architecture optimization for ophthalmic ultrasound image detection based on modular ablation of multi-version YOLO

Sheng Zhou, Zemeng Li, Xiang Yu, Yan Wang et al.
1 citations
BioMedical Engineering OnLine
Retinal Imaging and Analysis
1.36
article

Network architecture optimization for ophthalmic ultrasound image detection based on modular ablation of multi-version YOLO

Sheng Zhou, Zemeng Li, Xiang Yu, Yan Wang, Xiaochun Wang, Zhiyuan Zhao
article en
1 citations

Abstract

This study validates the feasibility of cross-version module combination. The proposed framework offers a systematic, quantitative decision-making basis for network design in ophthalmic ultrasound, balancing accuracy, speed, and deployment feasibility. Clinical results confirm high consistency between automatic and manual measurements, supporting automated and precise ocular biometry.

BioMedical Engineering OnLineVol. 24(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Inner Mongolia Medical University (CN)
Openalex Percentile: Top 15%
Retinal Imaging and Analysis
1.36
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