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All Journal ComEngApp : Computer Engineering and Applications Journal DEDIKASI JURNAL MAHASISWA Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Ilmiah Mahasiswa Pendidikan Kewarganegaraan Gramatika: Jurnal Ilmiah Kebahasaan dan Kesastraan JURNAL KESEHATAN INDRA HUSADA Metahumaniora Jurnal Teknik Mesin Indonesia Genta Bahtera : Jurnal Ilmiah Kebahasaan dan Kesastraan Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Multica Science and Technology Hospital Majapahit : Jurnal Ilmiah Kesehatan Politeknik Kesehatan Mojokerto Jurnal Cakrawala Mandarin Jurnal Ilmu Manajemen Mulawarman (JIMM) Concept: Journal of Social Humanities and Education
Rudiansyah Rudiansyah
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Aerospace Engineering Arts Humanities Astronomy Automotive Engineering Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

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Classification of Covid-19 Diseases Through Lung CT-Scan Image Using the ResNet-50 Architecture Lucky Indra Kesuma; Rudiansyah Rudiansyah
Computer Engineering and Applications Journal Vol 12 No 1 (2023)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v12i1.425

Abstract

Covid-19 is a respiratory tract disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The Covid-19 disease was first reported in Wuhan, China, in December 2019. The SARS-CoV-2 virus is primarily transmitted through human contact, and the World Health Organization has proclaimed a global pandemic (WHO). Symptoms of Covid-19 can range from asymptomatic to mild and severe. One way to diagnose Covid-19 disease can be done by examining lung abnormalities on the results of a Computed Tomography Scan (CT-Scan) of the lungs. However, determining the diagnostic results requires high accuracy and a long time. For this reason, an automated system is needed to make it easier for medical personnel to diagnose Covid-19 disease quickly and accurately. One of the automated systems with computer assistance in detecting abnormalities in CT-Scan images of the lungs is to perform pattern recognition
Co-Authors AA Sudharmawan, AA Ade Sukma Wati Ali Abrar Amirullah Amirullah Anita Susilawati Aris Nur Ihsan Betti Siburian Cintiawinata Jung Dandy Junaedy Depi Yulyanti Dwi Noviani Fachrul Sidik Riantono Fadjriyanto Fadjriyanto Fiqhi Nahdhiah Makhmud Gusti Noorlitaria Achmad Hadiyanto Hadiyanto Hamdan Awaludin Hamzah Maulana Ilyas Mauludin Julina Julina Kesuma, Lucky Indra Manar Fuadi Rahman Mi'raj Novahardi Muhamad Fauzi Muhammad Reggy Ramdani Permana, Muki Satya Randy Media Rachayu Rani anggraini Siti Nurjani Sri Mintarti Thomas Pamungkas Tuti Sartika Sijabat Yohanes Yohanes