Ocular Disease Detection with Deep Learning (Fine-Grained Image Categorization) Applied to Ocular B-Scan Ultrasound Images.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY Ophthalmology and Therapy Pub Date : 2024-10-01 Epub Date: 2024-08-11 DOI:10.1007/s40123-024-01009-7
Xin Ye, Shucheng He, Ruilong Dan, Shangchao Yang, Jiahao Xv, Yang Lu, Bole Wu, Congying Zhou, Han Xu, Jiafeng Yu, Wenbin Xie, Yaqi Wang, Lijun Shen
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Abstract

Introduction: The aim of this work is to develop a deep learning (DL) system for rapidly and accurately screening for intraocular tumor (IOT), retinal detachment (RD), vitreous hemorrhage (VH), and posterior scleral staphyloma (PSS) using ocular B-scan ultrasound images.

Methods: Ultrasound images from five clinically confirmed categories, including vitreous hemorrhage, retinal detachment, intraocular tumor, posterior scleral staphyloma, and normal eyes, were used to develop and evaluate a fine-grained classification system (the Dual-Path Lesion Attention Network, DPLA-Net). Images were derived from five centers scanned by different sonographers and divided into training, validation, and test sets in a ratio of 7:1:2. Two senior ophthalmologists and four junior ophthalmologists were recruited to evaluate the system's performance.

Results: This multi-center cross-sectional study was conducted in six hospitals in China. A total of 6054 ultrasound images were collected; 4758 images were used for the training and validation of the system, and 1296 images were used as a testing set. DPLA-Net achieved a mean accuracy of 0.943 in the testing set, and the area under the curve was 0.988 for IOT, 0.997 for RD, 0.994 for PSS, 0.988 for VH, and 0.993 for normal. With the help of DPLA-Net, the accuracy of the four junior ophthalmologists improved from 0.696 (95% confidence interval [CI] 0.684-0.707) to 0.919 (95% CI 0.912-0.926, p < 0.001), and the time used for classifying each image reduced from 16.84 ± 2.34 s to 10.09 ± 1.79 s.

Conclusions: The proposed DPLA-Net showed high accuracy for screening and classifying multiple ophthalmic diseases using B-scan ultrasound images across mutiple centers. Moreover, the system can promote the efficiency of classification by ophthalmologists.

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应用于眼部 B-Scan 超声波图像的深度学习(细粒度图像分类)眼部疾病检测。
导言:本研究旨在开发一种深度学习(DL)系统,利用眼部B扫描超声图像快速准确地筛查眼内肿瘤(IOT)、视网膜脱离(RD)、玻璃体出血(VH)和后巩膜葡萄胎(PSS):方法:利用临床确诊的五类超声图像(包括玻璃体出血、视网膜脱离、眼内肿瘤、后巩膜葡萄状瘤和正常眼)来开发和评估细粒度分类系统(双路径病变注意网络,DPLA-Net)。图像来自五个中心,由不同的超声波技师扫描,并按 7:1:2 的比例分为训练集、验证集和测试集。招募了两名资深眼科医生和四名初级眼科医生来评估系统的性能:这项多中心横断面研究在中国六家医院进行。共收集了 6054 张超声图像,其中 4758 张用于系统的训练和验证,1296 张作为测试集。在测试集中,DPLA-Net 的平均准确率为 0.943,曲线下面积分别为:IOT 0.988、RD 0.997、PSS 0.994、VH 0.988 和正常 0.993。在 DPLA-Net 的帮助下,四名初级眼科医生的准确率从 0.696(95% 置信区间 [CI] 0.684-0.707)提高到 0.919(95% CI 0.912-0.926,p 结论:所提出的 DPLA-Net 在多个中心使用 B-scan 超声图像筛查多种眼科疾病并对其进行分类方面表现出较高的准确性。此外,该系统还能提高眼科医生的分类效率。
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来源期刊
Ophthalmology and Therapy
Ophthalmology and Therapy OPHTHALMOLOGY-
CiteScore
4.20
自引率
3.00%
发文量
157
审稿时长
6 weeks
期刊介绍: Aims and Scope Ophthalmology and Therapy is an international, open access, peer-reviewed (single-blind), and rapid publication journal. The scope of the journal is broad and will consider all scientifically sound research from preclinical, clinical (all phases), observational, real-world, and health outcomes research around the use of ophthalmological therapies, devices, and surgical techniques. The journal is of interest to a broad audience of pharmaceutical and healthcare professionals and publishes original research, reviews, case reports/series, trial protocols and short communications such as commentaries and editorials. Ophthalmology and Therapy will consider all scientifically sound research be it positive, confirmatory or negative data. Submissions are welcomed whether they relate to an international and/or a country-specific audience, something that is crucially important when researchers are trying to target more specific patient populations. This inclusive approach allows the journal to assist in the dissemination of quality research, which may be considered of insufficient interest by other journals. Rapid Publication The journal’s publication timelines aim for a rapid peer review of 2 weeks. If an article is accepted it will be published 3–4 weeks from acceptance. The rapid timelines are achieved through the combination of a dedicated in-house editorial team, who manage article workflow, and an extensive Editorial and Advisory Board who assist with peer review. This allows the journal to support the rapid dissemination of research, whilst still providing robust peer review. Combined with the journal’s open access model this allows for the rapid, efficient communication of the latest research and reviews, fostering the advancement of ophthalmic therapies. Open Access All articles published by Ophthalmology and Therapy are open access. Personal Service The journal’s dedicated in-house editorial team offer a personal “concierge service” meaning authors will always have an editorial contact able to update them on the status of their manuscript. The editorial team check all manuscripts to ensure that articles conform to the most recent COPE, GPP and ICMJE publishing guidelines. This supports the publication of ethically sound and transparent research. Digital Features and Plain Language Summaries Ophthalmology and Therapy offers a range of additional features designed to increase the visibility, readership and educational value of the journal’s content. Each article is accompanied by key summary points, giving a time-efficient overview of the content to a wide readership. Articles may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand the scientific content and overall implications of the article. The journal also provides the option to include various types of digital features including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations. All additional features are peer reviewed to the same high standard as the article itself. If you consider that your paper would benefit from the inclusion of a digital feature, please let us know. Our editorial team are able to create high-quality slide decks and infographics in-house, and video abstracts through our partner Research Square, and would be happy to assist in any way we can. For further information about digital features, please contact the journal editor (see ‘Contact the Journal’ for email address), and see the ‘Guidelines for digital features and plain language summaries’ document under ‘Submission guidelines’. For examples of digital features please visit our showcase page https://springerhealthcare.com/expertise/publishing-digital-features/ Publication Fees Upon acceptance of an article, authors will be required to pay the mandatory Rapid Service Fee of €5250/$6000/£4300. The journal will consider fee discounts and waivers for developing countries and this is decided on a case by case basis. Peer Review Process Upon submission, manuscripts are assessed by the editorial team to ensure they fit within the aims and scope of the journal and are also checked for plagiarism. All suitable submissions are then subject to a comprehensive single-blind peer review. Reviewers are selected based on their relevant expertise and publication history in the subject area. The journal has an extensive pool of editorial and advisory board members who have been selected to assist with peer review based on the afore-mentioned criteria. At least two extensive reviews are required to make the editorial decision, with the exception of some article types such as Commentaries, Editorials, and Letters which are generally reviewed by one member of the Editorial Board. Where reviewer recommendations are conflicted, the editorial board will be contacted for further advice and a presiding decision. Manuscripts are then either accepted, rejected or authors are required to make major or minor revisions (both reviewer comments and editorial comments may need to be addressed). Once a revised manuscript is re-submitted, it is assessed along with the responses to reviewer comments and if it has been adequately revised it will be accepted for publication. Accepted manuscripts are then copyedited and typeset by the production team before online publication. Appeals against decisions following peer review are considered on a case-by-case basis and should be sent to the journal editor. Preprints We encourage posting of preprints of primary research manuscripts on preprint servers, authors’ or institutional websites, and open communications between researchers whether on community preprint servers or preprint commenting platforms. Posting of preprints is not considered prior publication and will not jeopardize consideration in our journals. Authors should disclose details of preprint posting during the submission process or at any other point during consideration in one of our journals. Once the manuscript is published, it is the author’s responsibility to ensure that the preprint record is updated with a publication reference, including the DOI and a URL link to the published version of the article on the journal website. Please follow the link for further information on preprint sharing: https://www.springer.com/gp/authors-editors/journal-author/journal-author-helpdesk/submission/1302#c16721550 Copyright Ophthalmology and Therapy''s content is published open access under the Creative Commons Attribution-Noncommercial License, which allows users to read, copy, distribute, and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited. The author assigns the exclusive right to any commercial use of the article to Springer. For more information about the Creative Commons Attribution-Noncommercial License, click here: http://creativecommons.org/licenses/by-nc/4.0. Contact For more information about the journal, including pre-submission enquiries, please contact christopher.vautrinot@springer.com.
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