Fast Automated Detection of COVID-19 from Medical Images using ResNet

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

This research study is expected to set up an early screening model to detect Novel Coronavirus (2019 – nCov) Pneumonia, with aspiratory CT scan utilizing Digital Image Processing procedures. The signs of registered tomography (CT) imaging of 2019 – nCov had their attributes, which are not the same as different sorts of viral Pneumonia. Accordingly, clinical specialists require another early analytic criterion for this new kind of Pneumonia at the earliest opportunity. The applicant contamination locales were handled under Digital Image Processing systems: image preprocessing, image enhancement and image segmentation of a 3-dimensional pneumonic CT image set capturing. These isolated images were then sorted into 2019 – nCov, using a marker-based watershed segmentation method

References

[1] S. Tabik; A. Gómez-Ríos; J. L. Martín-Rodríguez; I. Sevillano-García; M. Rey-Area; D. Charte; E. Guirado; J. L. Suárez, "COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images", IEEE Journal of Biomedical and Health Informatics ( Volume: 24, Issue: 12, Dec. 2020)
[2] Henderi; Miftah Maulana; Harco Leslie Hendrie S. Warnars; Didik Setiyadi; Taufik Qurrohman, "Model Decision Support System For Diagnosis COVID-19 Using Forward Chaining: A Case in Indonesia", 8th International Conference on Cyber and IT Service Management (CITSM), 2020
[3] Hadeel I. Mustafa; Noor Y. Fareed, COVID-19 Cases in Iraq; Forecasting Incidents Using Box - Jenkins ARIMA Model, Al-Noor International Conference for Science and Technology (NICST), 2020
[4] Mohit Mishra; Varun Parashar; Rushikesh Shimpi, Development and evaluation of an AI System for early detection of Covid-19 pneumonia using X-ray (Student Consortium), IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020
[5] P?nar Cihan, Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak, 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2020
[6] Naim Rochmawati; Hanik Badriyah Hidayati; Yuni Yamasari; Wiyli Yustanti; Lusia Rakhmawati; Hapsari P. A. Tjahyaningtijas, Covid Symptom Severity Using Decision Tree, Third International Conference on Vocational Education and Electrical Engineering (ICVEE), 2020
[7] Vasilis Z. Marmarelis, Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach, IEEE Open Journal of Engineering in Medicine and Biology ( Volume: 1), 2020
[8] Tran Quy Ban; Phan Lac Duong; Nguyen Hoang Son; Tran Van Dinh, Covid-19 Disease Simulation using GAMA platform, International Conference on Computational Intelligence (ICCI), 2020
[9] Reginald Lance E. Dones; Michael N. Young, Demand on the of Courier Services during COVID-19 Pandemic in the Philippines, 7th International Conference on Frontiers of Industrial Engineering (ICFIE), 2020
[10] José Luis Vásquez Bustamante; Raphael Marcelo Ochoa Chávez; Manuel Silvera; Fernando Castro, Optimization of passengers boarding in the BRT system based on the security protocols established by the Covid-19 pandemic, Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI), 2020
[11] Xinggang Wang; Xianbo Deng; Qing Fu; Qiang Zhou; Jiapei Feng; Hui Ma; Wenyu Liu, A Weakly-Supervised Framework, IEEE Transactions on Medical Imaging ( Volume: 39, Issue: 8, Aug. 2020)

Keywords

Component, formatting, style, styling, insert.