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

RAVI, FAHRUL and Erwin, Erwin (2022) DETEKSI OPTIK DISK PADA CITRA RETINA MENGGUNAKAN FASTER RCNN DENGAN BACKBONE RESNTE-50. Undergraduate thesis, Sriwijaya University.

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Abstract

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%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Optik Disk(OD), Faster RCNN
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Fahrul Ravi
Date Deposited:	09 Aug 2022 08:02
Last Modified:	09 Aug 2022 08:02
URI:	http://repository.unsri.ac.id/id/eprint/76950

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