KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK
) Diabetic retinopathy (DR is one of the complications on retina caused by diabetes. The study aims to develop a system that can be used for automatic mass screenings of diabetic retinopathy. Four classes are identified: normal retina, non-proliferative diabetic retinopathy (NPDR), proliferative dia...
| Main Authors: | , |
|---|---|
| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
|
| Subjects: |
| _version_ | 1797032580521918464 |
|---|---|
| author | , Rocky Yefrenes Dillak , Drs. Agus Harjoko, M.Sc, Ph.D |
| author_facet | , Rocky Yefrenes Dillak , Drs. Agus Harjoko, M.Sc, Ph.D |
| author_sort | , Rocky Yefrenes Dillak |
| collection | UGM |
| description | ) Diabetic retinopathy (DR is one of the complications on retina caused by
diabetes. The study aims to develop a system that can be used for automatic mass
screenings of diabetic retinopathy. Four classes are identified: normal retina,
non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy
(PDR), and macular edema (ME). Ninety-seven retinal fundus images were used
in this study. Six different texture features such as maximum probability,
correlation, contrast, energy, homogeneity, and entropy were extracted from the
digital fundus images using gray level cooccurence matrix (GLCM). The features
were fed into a backpropagation neural network classifier for automatic
classification. The proposed approach is able to classify with sensitivity 100%,
specificity 100%, and accuracy 90.68% |
| first_indexed | 2024-03-13T22:40:18Z |
| format | Thesis |
| id | oai:generic.eprints.org:99813 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:40:18Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:998132016-03-04T08:48:39Z https://repository.ugm.ac.id/99813/ KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK , Rocky Yefrenes Dillak , Drs. Agus Harjoko, M.Sc, Ph.D ETD ) Diabetic retinopathy (DR is one of the complications on retina caused by diabetes. The study aims to develop a system that can be used for automatic mass screenings of diabetic retinopathy. Four classes are identified: normal retina, non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR), and macular edema (ME). Ninety-seven retinal fundus images were used in this study. Six different texture features such as maximum probability, correlation, contrast, energy, homogeneity, and entropy were extracted from the digital fundus images using gray level cooccurence matrix (GLCM). The features were fed into a backpropagation neural network classifier for automatic classification. The proposed approach is able to classify with sensitivity 100%, specificity 100%, and accuracy 90.68% [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , Rocky Yefrenes Dillak and , Drs. Agus Harjoko, M.Sc, Ph.D (2012) KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56213 |
| spellingShingle | ETD , Rocky Yefrenes Dillak , Drs. Agus Harjoko, M.Sc, Ph.D KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title | KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title_full | KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title_fullStr | KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title_full_unstemmed | KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title_short | KLASIFIKASI FASE RETINOPATI DIABETES MENGGUNAKAN BACKPROPAGATION NEURAL NETWORK |
| title_sort | klasifikasi fase retinopati diabetes menggunakan backpropagation neural network |
| topic | ETD |
| work_keys_str_mv | AT rockyyefrenesdillak klasifikasifaseretinopatidiabetesmenggunakanbackpropagationneuralnetwork AT drsagusharjokomscphd klasifikasifaseretinopatidiabetesmenggunakanbackpropagationneuralnetwork |