利用深度学习自动检测AMD和DME视网膜病变。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL

International Journal of Biomedical Imaging Pub Date : 2023-11-24 eCollection Date: 2023-01-01 DOI:10.1155/2023/9966107

Latifa Saidi, Hajer Jomaa, Haddad Zainab, Hsouna Zgolli, Sonia Mabrouk, Désiré Sidibé, Hedi Tabia, Nawres Khlifa

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引用次数: 0

摘要

糖尿病性黄斑水肿(DME)和老年性黄斑变性(AMD)是两种常见的眼病。它们通常未被诊断或诊断较晚。这可能导致永久性和不可逆转的视力丧失。因此，早期发现和治疗这些疾病可以预防视力下降，节省资金，并为个人提供更好的生活质量。光学相干断层扫描(OCT)被广泛应用于眼病的识别，包括DME和AMD。在这项工作中，我们开发了基于自动深度学习的方法，使用SD-OCT扫描来检测这些病理。我们从零开始开发的卷积神经网络(CNN)在杜克大学OCT图像数据集上的分类得分最高，准确率超过99%。

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Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning.

Diabetic macular edema (DME) and age-related macular degeneration (AMD) are two common eye diseases. They are often undiagnosed or diagnosed late. This can result in permanent and irreversible vision loss. Therefore, early detection and treatment of these diseases can prevent vision loss, save money, and provide a better quality of life for individuals. Optical coherence tomography (OCT) imaging is widely applied to identify eye diseases, including DME and AMD. In this work, we developed automatic deep learning-based methods to detect these pathologies using SD-OCT scans. The convolutional neural network (CNN) from scratch we developed gave the best classification score with an accuracy higher than 99% on Duke dataset of OCT images.

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来源期刊

International Journal of Biomedical Imaging ENGINEERING, BIOMEDICAL-

CiteScore

12.00

自引率

0.00%

发文量

审稿时长

20 weeks

期刊介绍： The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics