Publikasi Dosen

Segmentasi Citra Pembuluh Darah Retina Menggunakan Operasi Morfologi Iteratif

Abstract— Retinal vessel segmentation is part of the morphological extraction of retinal blood vessels that plays an essential role in medical image processing. Manual segmentation is possible to do, but it is time- consuming and requires special operators. Moreover, the possibility of variability between operators is vast. This study aims to answer the shortcomings of the manual segmentation process by automatically segmenting retinal blood vessels. The main contribution of this study is the use of a simple method to iteratively segment retinal blood vessels. All processes in the segmentation are simulated using Matlab. The algorithm was evaluated by comparing the results of the automatic segmentation with 20 manually segmented images from the STARE dataset. The result show specificity 98.13%, accuracy 93.60%, sensitivity 56.42%, precision 80.48%, and the dice coefficient 64.06%. In conclusion, the automatic retinal blood vessel image segmentation process worked well.

Keywords— retinal segmentation, medical image processing, iteration process

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

001

Penerbit

: Universitas Negeri Semarang., 2021

Deskripsi Fisik

-

Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

001

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

2021

Subjek

retinal segmentation
medical image processing
iteration process

Info Detail Spesifik

Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang; p-ISSN 1411-0059 | e-ISSN 2549-1571; Vol 13, No 1 (2021) ; Author : 1.Vita Nurdinawati-a, 2- Atika Hendryani-a, dan 3. Thareq Barasabha --b. Jurusan Teknik Elektromedik Poltekkes Kemenkes Jakarta II, b- Fakultas Kedokteran Universitas Brawijaya DOI: https://doi.org/10.15294/jte.v13i1.29747

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