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

HAFIDZ, ALIF MUHAMAD and Erwin, Erwin (2021) SEGMENTASI PEMBULUH DARAH RETINA PADA PENYAKIT DIABETIC RETINOPATHY MENGGUNAKAN METODE RESNET CONVOLUTIONAL NEURAL NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Retina merupakan bagian terpenting yang ada pada mata manusia. Pada Penelitian yang saya lakukan saya melakukan segmentasi pada pembuluh darah retina. Langkah pertama yang harus dilakukan adalah merubah image asli menjadi grayscale image menggunakan metode Split RGB. Hanya Green Channel saja yang diambil dan akan digunakan pada langkah selanjutnya, yaitu CLAHE. Metode CLAHE digunakan untuk meningkatkan kontras pada gambar dari image retina. Setelahnya akan dilakukan augmentai data. Image Retina akan di segmentasi menggunakan metode ResNet Convolutional Neural Network menggunakan dataset DRIVE. Metode yang diajukan menghasilkan rata-rata nilai untuk Accuracy sebesar 95.55%, Sensitivity 65.06%, Specificity 98.52%, Precision 81.21%, dan F1 Score 72.21%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Retina, Pembuluh Darah, Segmentasi, Split RGB, CLAHE, augmentasi data, Convolutional Neural Network, ResNet
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:	Alif Muhamad Hafidz
Date Deposited:	04 Aug 2021 07:26
Last Modified:	04 Aug 2021 07:26
URI:	http://repository.unsri.ac.id/id/eprint/51577

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