ANALISIS JENIS PENYAKIT PARU-PARU BERDASARKAN CHEST X-RAY MENGGUNAKAN METODE FUZZY C-MEANS

  • Fani Nur Azizah Universitas Negeri Surabaya

Abstract

Lungs are vital organs that easily infected making them susceptible to diseases, such as atelectasis,
effusion, pneumothorax and cancer. Diseases in the lungs can be detected using x-ray. Based on
medicaltheory, the results of the x-ray images of the lung diseases are difficult for ordinary people to
read.. This research analyzes the x-ray image of the lungs to make easier the process of analysis. The
analysis will be easy to carry out if the charaxteristic is known. In this case, fractal dimensions were
implemented to clustering the typse if lung disesase based on chest x-ray. There are 100 x-ray image of
the lungs that will be processed using segmentation. Result of segmentation is a region of the lungs.
These regions are used in Canny edge detection to find out spots of lung disease. Then the dimension
value is calculated using box counting so that it can be clustered. The results of the experiment using the
fuzzy c-means method with four clusters have an accuracy of 86%.

Keywords : Chest X-ray, Box Counting, Fuzzy C-Means

Published
2021-09-03
Section
Articles
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