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Image of METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CITRA RETINA

Skripsi

METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CITRA RETINA

Sepriantina, Persia - Personal Name;

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Penilaian anda saat ini :  

The retina is one of the most important parts of the eye. One part of the retina is the optic disc. The optic disc is the starting point of the optic nerve, where the optics meet and relay information to the center and carry more than one million neurons from the eye to brain. One way to simplify the image structure is by segmenting it. Optic disk segmentation, the outhor uses the Convolutional Neural Network (CNN) method with U-Net architecture. At the pre-processing stage using grayscale, complement, augmentation is also used to increase the amount of data used. In this study using the DRIVE dataset with 99.44% accuracy, 99.88% spesification, 92.08% precision, 99.00% sensitivity and 95.33% f1 score on augmented data. While the data without augmentation result in 98.50% accuracy, 99.74% specification, 84.57% precission, 97.27% sensitivity and 89.22% f1 score.


Availability
Inventory Code Barcode Call Number Location Status
2107004711T57795T577952021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T577952021
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2021
Collation
xvi, 56 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.407
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Metode Convolutional Neural Network (CNN)
Specific Detail Info
-
Statement of Responsibility
DS
Other version/related

No other version available

File Attachment
  • METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CITRA RETINA
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