SEGMENTASI PEMBULUH DARAH RETINA PADA PENYAKIT DIABETIC RETINOPATHY MENGGUNAKAN METODE FRACTALNET CONVOLUTIONAL NEURAL NETWORK

ANUGRAH, MUHAMMAD LUTHFI and Erwin, Erwin (2021) SEGMENTASI PEMBULUH DARAH RETINA PADA PENYAKIT DIABETIC RETINOPATHY MENGGUNAKAN METODE FRACTALNET CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

The retina is a very crucial organ in the human eye. The retina has a blood vessel section which in every human has a different form of blood vessels. Early detection of retinal disease can be done through sections of the retinal blood vessels. In order to facilitate the medical world in detecting diabetic retinopathy on the retina, a retinal image segmentation study was carried out in order to distinguish between retinal images that have the disease or not. This study presents retinal segmentation using the Fractalnet Convolutional Neural Network method. The first step is to prepare the data used, namely DRIVE. Then proceed with data processing using Color Channel Separation, Grayscale, CLAHE (Contrast Limited Adaptive Histogram Equalization), and data Augmentation. Followed by the segmentation process using the Fractalnet architecture, after that the best model is selected by looking at the parameters. From the results of the research conducted to get the best model with parameters Accuracy value of 96.15%, Sensitivity 74.89%, Specificity 77.49% and F1 Score of 77.01%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Retina, Segmentasi, Fractalnet, Convolutional Neural Network, Diabetic Retinopathy, Augmentasi Data
Subjects:	Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mr. Anugrah Muhammad Luthfi
Date Deposited:	01 Dec 2021 06:20
Last Modified:	01 Dec 2021 06:20
URI:	http://repository.unsri.ac.id/id/eprint/58418

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