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All Journal HAYATI Journal of Biosciences Majalah Obat Tradisional The Indonesian Biomedical Journal JOIV : International Journal on Informatics Visualization JSFK (Jurnal Sains Farmasi & Klinis) FITOFARMAKA: Jurnal Ilmiah Farmasi 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 Journal of Innovative and Creativity Jurnal Kefarmasian Indonesia
Kusmardi Kusmardi
Departemen Patologi Anatomik, Fakultas Kedokteran, Universitas Indonesia Jakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Earth & Planetary Sciences Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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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 . Syamsudin Adisti Dwijayanti Alfred Pakpahan, Alfred Aniati Murni Anwar S. Ibrahim Anwar S. Ibrahim Aprilliyani, Ifana Ariadi Humardhani Ariffandi, Bagas Arleni Bustami Aryo Tedjo Athifa, Khasna Fayza Atmaja, Fredy Wirya Azizah, Norma N. Berna Elya Budiana Tanurahardja Dewi Sukmawati Diah Rini Handjari Dian Ratih Laksmitawati Dimas Ramadhian N Ditha Diana Ditha Diana Dwira, Surya Dwitia Wulandari Endang SR. Hardjolukito Endang Sri Roostini Hardjolukito Enif Esti Triana Ening Krisnuhoni Erlina, Linda Erwina Muhadi Fadhillah, Muhamad Rizqy Fadilah Fadilah, Fadilah Fajriati, Annisa Hamdani Zain Hanum, Sitti Fatimah Hashim, Najihah M. Hayun Hayun, Hayun Hendig Winarno Heri Wibowo Heru Suhartanto Hikariastri, Pangartika Imelda Setiana Silitonga Irandi Putra Pratomo Ismalasari, Wahyu Jasni Mohammad Zain Khatimah, Nurul Gusti Kristanty, Diyah Ladeska, Vera Landyyun Rahmawan Sjahid Landyyun Rahmawan Sjahid Lestari, Tri Wahyuni Lili Indrawati Lubis, Nadar Sukri Megawati, Ajeng Muhammad Hanafi Murtiani, Farida Nina Yolanda Putri Noor, Dimas Ramadhian Novi Fajar Utami Nurdin, Wildawati Peni Kistijani Samsuria Putri Reno Intan Putri, Rizky Clarinta Rani Wardani Hakim Rino Patiatta Rohmat, Siti Saudah Shirly Kumala Sibli, Sibli Sri S. Ningsih, Sri S. Sri Suryo Adiyanti, Sri Suryo Surya Dwira Syamsu Nur, Syamsu Toto Haryanto Triana, Novi Virhan Novianry Vivi Setiawaty Wahyu Hidayati Wahyu Hidayati Wahyu Ismalasari Wawaimuli Arozal Widiantari, Aninda Dinar Wiwiek Ernajanti Wiyanto, Marwito Yulhasri Yulhasri Yusoff, Marina Yusra Yusra