An Ophthalmic Evaluation of Central Serous Chorioretinopathy  

作　　者：L.K.Shoba P.Mohan Kumar 

机构地区：[1]Department of Information Technology,Jeppiaar Engineering College,Chennai,600119,India [2]Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology,Coimbatore,641008,India

出　　处：《Computer Systems Science & Engineering》2023年第1期613-628,共16页计算机系统科学与工程（英文）

摘　　要：Nowadays in the medicalfield,imaging techniques such as Optical Coherence Tomography(OCT)are mainly used to identify retinal diseases.In this paper,the Central Serous Chorio Retinopathy(CSCR)image is analyzed for various stages and then compares the difference between CSCR before as well as after treatment using different application methods.Thefirst approach,which was focused on image quality,improves medical image accuracy.An enhancement algorithm was implemented to improve the OCT image contrast and denoise purpose called Boosted Anisotropic Diffusion with an Unsharp Masking Filter(BADWUMF).The classifier used here is tofigure out whether the OCT image is a CSCR case or not.150 images are checked for this research work(75 abnormal from Optical Coherence Tomography Image Retinal Database,in-house clinical database,and 75 normal images).This article explicitly decides that the approaches suggested aid the ophthalmologist with the precise retinal analysis and hence the risk factors to be minimized.The total precision is 90 percent obtained from the Two Class Support Vector Machine(TCSVM)classifier and 93.3 percent is obtained from Shallow Neural Network with the Powell-Beale(SNNWPB)classifier using the MATLAB 2019a program.

关 键 词：OCT CSCR MACULA segmentation boosted anisotropic diffusion with unsharp maskingfilter two class support vector machine classifier and shallow neural network with powell-beale classifier 

分 类 号：R774.1[医药卫生—眼科]