Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images.

Naoki Toyama, Takako Hidaka, Hiroki Tamura, Yasuhiro Ikeda

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Naoki ToyamaDepartment of Ophthalmology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki, 889-1692, Japan.

Takako HidakaDepartment of Ophthalmology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki, 889-1692, Japan.

Hiroki TamuraElectrical and Electronic Engineering Program, Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-Nishi, Miyazaki, 889-2192, Japan. htamura@miyazaki-u.ac.jp.

Yasuhiro IkedaDepartment of Ophthalmology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki, 889-1692, Japan. ymocl@med.miyazaki-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal detachment (RD) is a serious ocular disease that can lead to permanent vision loss. In cases with fundus-obscuring vitreous hemorrhage (VH), it is difficult to detect RD even using ocular ultrasonography. We developed a convolutional neural network (CNN) based on the You Only Look Once version 5 (YOLOv5) architecture to detect RD and VH on B-scan ultrasound images. The model was trained using 2,188 images and validated using 1,042 images. We applied image enhancement techniques, including unsharp masking (UM), to improve the detection accuracy. The final model (Incorporating fivefold cross-validation along with previous techniques) achieved overall accuracies of 96.6%, 99.2%, and 98.0% for RD, VH, and RD with VH, respectively. Our deep-learning algorithm showed high accuracy in detecting RD and VH on ocular ultrasound images. In cases with fundus-obscuring VH, our deep-learning algorithm might be useful for detecting RD as a supportive tool on ocular ultrasound images.

Indexed as

Deep LearningRetinal DetachmentVitreous HemorrhageAlgorithmsConvolutional Neural NetworksHumansUltrasonographyDeep learningOcular ultrasonographyRetinal detachmentVitreous hemorrhageYOLOv5

Identifiers

PMID41673252

DOI10.1038/s41598-026-38272-6

PMCPMC12972035

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.