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All Journal HAYATI Journal of Biosciences Jurnal Pengolahan Hasil Perikanan Indonesia Atom Indonesia Journal Majalah Obat Tradisional INDONESIAN JOURNAL OF PHARMACY The Indonesian Biomedical Journal JOIV : International Journal on Informatics Visualization JSFK (Jurnal Sains Farmasi & Klinis) FITOFARMAKA: Jurnal Ilmiah Farmasi Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Ilmu Kefarmasian Indonesia Majalah Patologi Indonesia Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Narra J Indonesian Journal of Cancer Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy Indonesian Journal of Medical Chemistry and Bioinformatics Jurnal Kefarmasian Indonesia Biodiversitas Journal of Biological Diversity
Kusmardi
Departemen Patologi Anatomi, Fakultas Kedokteran, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Journal : joiv international journal on informatics visualization

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SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images Haryanto, Toto; Suhartanto, Heru; Murni, Aniati; Kusmardi, Kusmardi; Yusoff, Marina; Zain, Jasni Mohammad
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1750

Abstract

Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally declared a global pandemic by the WHO. Image processing plays an essential role in examining the lungs of affected patients. Computed Tomography (CT) and X-ray images have been popularly used to examine the lungs of COVID-19 patients. This research aims to design a simple Convolution Neural Network (CNN) architecture called SCOV-CNN for the classification of the virus based on CT images and implementation on the web-based application. The data used in this work were CT images of 120 patients from hospitals in Brazil. SCOV-CNN was inspired by the LeNet architecture, but it has a deeper convolution and pooling layer structure. Combining seven and five kernel sizes for convolution and padding schemes can preserve the feature information from the images.  Furthermore, it has three fully connected (FC) layers with a dropout of 0.3 on each. In addition, the model was evaluated using the sensitivity, specificity, precision, F1 score, and ROC curve values. The results showed that the architecture we proposed was comparable to some prominent deep learning techniques in terms of accuracy (0.96), precision (0.98), and F1 score (0.95). The best model was integrated into a website-based system to help and facilitate the users' activities. We use Python Flask Pam tools as a web server on the server side and JavaScript for the User Interface (UI) Design
Co-Authors . Hayun . Syamsudin Adisti Dwijayanti Adriana Viola Miranda Afif Rasyad Agnes Stephanie Harahap Alfred Pakpahan Andrea Laurentius Aniati Murni Anwar S. Ibrahim Anwar S. Ibrahim Aprilliyani, Ifana Ari Estuningtyas Ariadi Humardhani Ariffandi, Bagas Arleni Bustami Aryo Tedjo Atmaja, Fredy Wirya Ayu Werawati Azizah, Norma N. Bambang Ponco Priosoeryanto Berna Elya Budiana Tanurahardja Budiana Tanurahardja D. P. Perkasa Dayanto Indro Utomo Dewi Sukmawati Diah Rini Handjari Dian Ratih Laksmitawati Dimas Ramadhian N Ditha Diana Ditha Diana Diyah Kristianty Dwitia Wulandari Endang SR Hardjolukito Endang SR. Hardjolukito Endang Sri Roostini Hardjolukito Enif Esti Triana Ening Krisnuhoni Erlina, Linda Erwina Muhadi Esti Mumpuni Fadhillah, Muhamad Rizqy Fajriati, Annisa Gregorius Bhaskara Wikanendra Ham, Maria Francisca Hamdani Zain Hanum, Sitti Fatimah Hardjolukito, Endang SR Hashim, Najihah M. Hellyanti, Tantri Hendig Winarno Hendig Winarno Heri Wibowo Heru Suhartanto Hikariastri, Pangartika Imelda Setiana Silitonga Irandi Putra Pratomo Ismalasari, Wahyu Jasni Mohammad Zain Juliana Irem Adriana Purukan Karina Rahmaningrum Khatimah, Nurul Gusti Kristanty, Diyah Ladeska, Vera Landyyun Rahmawan Sjahid Landyyun Rahmawan Sjahid Lestari, Tri Wahyuni Lili Indrawati Linggodigdo, Michelle Lisnawati Lisnawati Liviandari, Regina Lubis, Nadar Sukri M. Syaifudin Maris, Stephanie Megawati, Ajeng Mieke Marindawati Muhammad Hanafi Murtiani, Farida Nina Yolanda Putri Noor, Dimas Ramadhian Novi Fajar Utami Nurdin, Wildawati Nurhuda Sahar Pangartika Hikariastri Peni Kistijani Samsuria Ponco Birowo Putri Reno Intan Ramadhian N, Dimas Rani Wardani Hakim Regina Liviandari Rino Patiatta Rizky Clarinta Putri Rohmat, Siti Saudah Shirly Kumala Silitonga, Imelda Setiana Sri S. Ningsih, Sri S. Sri Suryo Adiyanti, Sri Suryo Stephanie Maris Surya Dwira Syamsu Nur, Syamsu Syamsudin Abdillah Syofyan, Stephen Dario Toto Haryanto Triana, Novi Utomo, Dayanto Indro Vetnizah Juniantito Virhan Novianry Vivi Setiawaty Vivitri Prasasty W. Arozal Wahyu Hidayati Wahyu Hidayati Wahyu Ismalasari Wangi, Surya Buana Wawaimuli Arozal Welly Hartono Ruslim Widiantari, Aninda Dinar Wildawati Nurdin Wiwiek Ernajanti Wiyanto, Marwito Yulhasri Yulhasri Yusoff, Marina Yusra Yusra