Skripsi

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

---

Penilaian

---

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
2107004711	T57795	T577952021	Central 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

File Attachment

Comments

---

You must be logged in to post a comment