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DETEKSI OPTIK DISK PADA CITRA RETINA MENGGUNAKAN FASTER RCNN DENGAN BACKBONE RESNTE-50

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Penilaian

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The Optical Disc (OD) is the starting point of the optic nerve, the place where the optical fibers meet and convey information to the center and also carry more than 1 million neurons from the eye to the brain. Optical Disc (OD) Usually appears in bright yellowish areas. Optical Disk (OD) is detected using Deep Learning with Faster-RCNN. Faster R-CNN is one method that is often used in object detection. Faster R-CNN consists of a combination of the Fast R-CNN and the Region Proposal Network (RPN). In this study, there are 2 different data, namely original data and data after augmentation which will be used as comparisons both in terms of results and accuracy. This study focuses on the accuracy results issued by the Faster RCNN with Backbone Resnet-50 with the object of detection, namely Optical Disk (OD). Of the 2 models tested, the best model is obtained using data that has been augmented with Backbone Resnet-50 with batch size 4,learning rate 0.001, epoch 1000. The result of the mean average precision (MAP) obtained with the best model is 87,129%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003095	T76950	T769502022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T769502022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2022

Collation

xiii, 54 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.507

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

penyimpanan
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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