Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385461083> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4385461083 endingPage "98" @default.
- W4385461083 startingPage "82" @default.
- W4385461083 abstract "The two main causes of blindness are diabetes and glaucoma. Routine diagnosis of blindness is based on the conventional robust mass-screening method. However, despite being cost-effective, this method has some problems as a human eye-disease detection method because there are many types of eye disease that are similar or that result in no visual changes in the eye image. These issues make it highly difficult to recognize blindness and control it. Moreover, the color of the macula of the spot can be very close to that of the affected macula in a variety of eye diseases, which suggests that the color of the macula spot can indicate various possibilities, rather than one. This paper discusses the shortcomings of current blindness-screening and monitoring systems and presents a feature-based blindness diagnosis approach using digital eye fundus images for the purpose of automated diagnosis of eye disorders, considering three conditions: healthy eye, diabetic retinopathy (DR), and glaucoma. As such, this paper develops a computer-aided diagnosis (CAD) method for automated detection of human blindness. The proposed approach integrates Gabor filter features, statistical features, colored features, morphological features, and local binary pattern features, then compares them with features drawn from a standard dataset of 1580 fundus images. Several classification techniques were applied to the extracted-features neural network (NN), support vector machine (SVM), naïve bias (NB). SVM classifiers show the most promising accuracy. They achieved 93.3% over the other classifiers." @default.
- W4385461083 created "2023-08-02" @default.
- W4385461083 creator A5017401944 @default.
- W4385461083 date "2023-08-01" @default.
- W4385461083 modified "2023-09-28" @default.
- W4385461083 title "An Efficient System for Diagnosis of Human Blindness Using Image-Processing and Machine-Learning Methods" @default.
- W4385461083 doi "https://doi.org/10.3991/ijoe.v19i10.37681" @default.
- W4385461083 hasPublicationYear "2023" @default.
- W4385461083 type Work @default.
- W4385461083 citedByCount "0" @default.
- W4385461083 crossrefType "journal-article" @default.
- W4385461083 hasAuthorship W4385461083A5017401944 @default.
- W4385461083 hasBestOaLocation W43854610831 @default.
- W4385461083 hasConcept C115961682 @default.
- W4385461083 hasConcept C118487528 @default.
- W4385461083 hasConcept C119767625 @default.
- W4385461083 hasConcept C12267149 @default.
- W4385461083 hasConcept C134018914 @default.
- W4385461083 hasConcept C138885662 @default.
- W4385461083 hasConcept C153180895 @default.
- W4385461083 hasConcept C154945302 @default.
- W4385461083 hasConcept C2776391266 @default.
- W4385461083 hasConcept C2776401178 @default.
- W4385461083 hasConcept C2778527774 @default.
- W4385461083 hasConcept C2779549770 @default.
- W4385461083 hasConcept C2779829184 @default.
- W4385461083 hasConcept C2780929884 @default.
- W4385461083 hasConcept C2781427961 @default.
- W4385461083 hasConcept C31972630 @default.
- W4385461083 hasConcept C41008148 @default.
- W4385461083 hasConcept C41895202 @default.
- W4385461083 hasConcept C52622490 @default.
- W4385461083 hasConcept C555293320 @default.
- W4385461083 hasConcept C71924100 @default.
- W4385461083 hasConcept C9417928 @default.
- W4385461083 hasConceptScore W4385461083C115961682 @default.
- W4385461083 hasConceptScore W4385461083C118487528 @default.
- W4385461083 hasConceptScore W4385461083C119767625 @default.
- W4385461083 hasConceptScore W4385461083C12267149 @default.
- W4385461083 hasConceptScore W4385461083C134018914 @default.
- W4385461083 hasConceptScore W4385461083C138885662 @default.
- W4385461083 hasConceptScore W4385461083C153180895 @default.
- W4385461083 hasConceptScore W4385461083C154945302 @default.
- W4385461083 hasConceptScore W4385461083C2776391266 @default.
- W4385461083 hasConceptScore W4385461083C2776401178 @default.
- W4385461083 hasConceptScore W4385461083C2778527774 @default.
- W4385461083 hasConceptScore W4385461083C2779549770 @default.
- W4385461083 hasConceptScore W4385461083C2779829184 @default.
- W4385461083 hasConceptScore W4385461083C2780929884 @default.
- W4385461083 hasConceptScore W4385461083C2781427961 @default.
- W4385461083 hasConceptScore W4385461083C31972630 @default.
- W4385461083 hasConceptScore W4385461083C41008148 @default.
- W4385461083 hasConceptScore W4385461083C41895202 @default.
- W4385461083 hasConceptScore W4385461083C52622490 @default.
- W4385461083 hasConceptScore W4385461083C555293320 @default.
- W4385461083 hasConceptScore W4385461083C71924100 @default.
- W4385461083 hasConceptScore W4385461083C9417928 @default.
- W4385461083 hasIssue "10" @default.
- W4385461083 hasLocation W43854610831 @default.
- W4385461083 hasOpenAccess W4385461083 @default.
- W4385461083 hasPrimaryLocation W43854610831 @default.
- W4385461083 hasRelatedWork W2187497557 @default.
- W4385461083 hasRelatedWork W2336974148 @default.
- W4385461083 hasRelatedWork W2546703942 @default.
- W4385461083 hasRelatedWork W2546942002 @default.
- W4385461083 hasRelatedWork W2550368423 @default.
- W4385461083 hasRelatedWork W3137177488 @default.
- W4385461083 hasRelatedWork W4244719719 @default.
- W4385461083 hasRelatedWork W4281959742 @default.
- W4385461083 hasRelatedWork W4295539746 @default.
- W4385461083 hasRelatedWork W4310880831 @default.
- W4385461083 hasVolume "19" @default.
- W4385461083 isParatext "false" @default.
- W4385461083 isRetracted "false" @default.
- W4385461083 workType "article" @default.