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All Journal Journal of Aceh Physics Society Journal of Physics: Theories and Applications INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Ilmu Fisika Jurnal Teori dan Aplikasi Fisika Relativitas : Jurnal Riset Inovasi Pembelajaran Fisika Journal of Applied Agricultural Science and Technology Jurnal Natural Teknologi dan Industri Pertanian Indonesia PESARE: Science and Engineering Service Journal
Evi Yufita
Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala Jl. Syekh Abdul Rauf, Darussalam, Banda Aceh 23111, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Neuroscience Physics Public Health Social Sciences

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Journal : Journal of Physics: Theories and Applications

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Improvements to conventional methods for determining lung cancer areas from CT scan images using ImageJ - software Edwar Iswardy; Munzir Munzir; Evi Yufita
Journal of Physics: Theories and Applications Vol 6, No 2 (2022): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v6i2.59349

Abstract

Early detection of lung cancer will definitely help the patients in treating the illness precisely and as early as possible.  One of the methods used to detect lung cancer is through CT scan examination. The images from CT scan will show the cancer area of lung describing the severity of lungs affected by cancer. However, the conventional method is often not accurate. Therefore, this research  aims to determine the area of cancer by segmenting the lung organs affected by cancer using Image-J software. The edge detection method was employed to segment an image. The results show that by using the proposed method, the largest cancer area is obtained in the seventh slice with the area of 15.39 cm2 and the smallest cancer area is obtained  in  the  first  slice  with  the  area  of 1.52  cm2. Whereas by using the convetional method, the  largest  cancer  area  is obtained in the fourth slice with the area of 20.57 cm2  and the smallest cancer area is  obtained  in  the  teenth  slice  with  the  area  of 3.52  cm2. The area of lung cancer in each CT Scan slice determined using ImageJ software is more accurate than the conventional method. For that reason, the  proposed  technique  is potential to improve the accuracy of a medical image analysis.
Co-Authors Aztarina Ermy Vijaya Beti Nanda Sari Cut Dewi Afriani Desy Fitriana Edwar Iswardy Elin Yusibani Endi Suhendi Faisal Abdullah Fasbir, Fasbir Fatriah Fatriah Fauzi . Fitriani Fitriani GUNAWATI, GUNAWATI Ikramullah ikramullah Lloyd Woodfield, Peter Muhammad Ilham Noor Muhammad Ilham Nur Muhammad Isa Muhammad Shadiq Maula, Teuku Munzir Munzir Mursal, M Nurmalita . Nurmalita Nurmalita Nurmalita Nurmalita Nurrizka Nadia Nursabila Al Hazmi Nurul Fitri Nurul Fitri Rajibussalim Rajibussalim Rini Safitri Rini Safitri Saudiah Mawaddah Teuku Maimun Zulfalina . ZULFALINA ZULFALINA Zulkarnain Jalil Zulkarnain Jalil Zuraini .