Jurnal Repositor
Vol 5 No 1 (2023): Februari 2023

Segmentasi Citra X-Ray Paru dengan Deep Learning

Muhammad Hussein (Universitas Muhammadiyah Malang)
Agus Eko Minarno (Universitas Muhammadiyah Malang)
Yufis Azhar (Universitas Muhammadiyah Malang)

Article Info

Publish Date
30 Jan 2023

Abstract

Image segmentation is one of the main things in the study of computer vision and image processing. One example is the processing of lung x-ray images to find out diseases in the lungs. U-net is a segmentation model that has been created to make it easier for someone to build a model for image segmentation. U-net can be used on any image. From its advantages, the researchers tried to use U-net in combination with Inception, MobileNet and EfficientNet to segment medical x-ray images of the lungs. The image is resized to 512 x 512 pixels. Augmentation that is done is zoom range, height shift, width shift and horizontal flip. Epoch is 200 and batch size is 4. The best scenario in this research is to use U-net Efficientnetb0 with dice value of 0.967, Jaccard of 0.937.

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Journal Info
Jurnal Repositor
Website

Abbrev

repositor

Publisher

Universitas Muhammadiyah Malang

Subject

Computer Science & IT Engineering

Description

Jurnal Repositor dipublikasikan oleh Universitas Muhammadiyah Malang dan dikelolah Program Studi Informatika. Jurnal Repositor merupakan jurnal ilmiah dengan ruang lingkup keilmuan bidang ifnormatika. Jurnal ini mempublikasikan hasil penelitian, telaah ilmiah dan serangkaian hasil studi yang ...