DETECTION OF DIABETIC RETINOPATHY USING RETINAL FUNDUS PHOTOGRAPHS BASED ON DEEP LEARNING ALGORITHM.
In this modern world, diagnosis of disease by using advanced technology plays a vital role in the medical field. Medical imaging techniques are used to detect diseases by visualizing the image. A better way to detect the disease is using Deep learning (DL) algorithm. DL is the subset of artificial i...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2040 - 2047 |
|---|---|
| Autores principales: | , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151006196&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151006196 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151006196 151006196 151006196 151006196 ppf: 2040 ppct: 7 formats: fmt: @attributes: type: P tig: atl: DETECTION OF DIABETIC RETINOPATHY USING RETINAL FUNDUS PHOTOGRAPHS BASED ON DEEP LEARNING ALGORITHM. aug: au: A., KAVITHA S., ABINAYA K., PRAMITHA K., VAITHEESWARI affil: Professor, Department of Electronics and Communication Engineering M. Kumarsamy College of Engineering, Thalavapalayam, Karur, Tamil Nadu sug: subj: Diabetic Retinopathy Diagnosis Deep Learning Algorithms Neural Networks (Computer) Artificial Intelligence Photography Blood Glucose Retina Blindness Diagnostic Imaging ab: In this modern world, diagnosis of disease by using advanced technology plays a vital role in the medical field. Medical imaging techniques are used to detect diseases by visualizing the image. A better way to detect the disease is using Deep learning (DL) algorithm. DL is the subset of artificial intelligence (AI) which thus a subset of computerized reasoning(AI). In deep learning technique, the features are picked out by the neural network without human intervention. Diabetic retinopathy is caused by high sugar level in the blood which damages the back part of the eye called retina. Ineffectively controlled glucose is one of the danger factors to cause diabetic retinopathy. Early symptoms include floaters, blurriness, micro-aneurysms and difficulty in perceiving colours. In severe cases, blindness can occur. Due to this reason, the early detection of retinopathy is of critical importance. The retinal fundus photographs will be processed with the help of a deep learning algorithm called "Convolutional Neural Network" which helps in classifying the image by learning distinctive features of the retinal image by itself. Diabetic retinopathy can be recognized a lot quicker and more exact outcomes will be normal with the assistance of CNN calculation. Since, it is more efficient by identifying the features accurately as well as its relation with other features in an image. This paper proposes the solution for diabetic retinopathy detection in eyes using deep learning. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|