A. Yu. Ionov, N. Yu. Ilyasova, N. S. Demin, E. A. Zamytskiy
{"title":"Differential Diagnosis of Retinal Edema Based on OCT Image Analysis","authors":"A. Yu. Ionov, N. Yu. Ilyasova, N. S. Demin, E. A. Zamytskiy","doi":"10.3103/S1060992X24700589","DOIUrl":null,"url":null,"abstract":"<p>The aim of the work is differential diagnosis of retinal edema, study of deep learning methods and their application to image analysis. The application of convolutional neural networks to the task of semantic segmentation of retinal layers was investigated and its efficiency in selecting two selected layers (pigment epithelium and retina) was proved. A disease classifier based on intelligent analysis of the layers extracted by the neural network was implemented. A proof of its applicability for differential diagnosis of retinal edema was presented. The accuracy of disease prediction amounted to 90%.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":"33 2 supplement","pages":"S295 - S304"},"PeriodicalIF":0.8000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Memory and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S1060992X24700589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of the work is differential diagnosis of retinal edema, study of deep learning methods and their application to image analysis. The application of convolutional neural networks to the task of semantic segmentation of retinal layers was investigated and its efficiency in selecting two selected layers (pigment epithelium and retina) was proved. A disease classifier based on intelligent analysis of the layers extracted by the neural network was implemented. A proof of its applicability for differential diagnosis of retinal edema was presented. The accuracy of disease prediction amounted to 90%.
期刊介绍：
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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