COVID-19 Detection Based on 6-Layered Explainable Customized Convolutional Neural Network

被引：1

作者：

Wang, Jiaji ^{[1
]}

Chen, Shuwen ^{[1
,2
,3
]}

Cao, Yu ^{[1
]}

Zhu, Huisheng ^{[1
]}

Lima, Dimas ^{[4
]}

机构：

[1] Jiangsu Second Normal Univ, Sch Phys & Informat Engn, Nanjing 211200, Peoples R China

[2] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China

[3] Jiangsu Prov Engn Res Ctr Basic Educ Big Data Appl, Nanjing 211200, Peoples R China

[4] Univ Fed Santa Catarina, Dept Elect Engn, BR-88040900 Florianopolis, Brazil

来源：

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2023年 / 136卷 / 03期

关键词：

COVID-19; custom convolutional neural network; medical images;

D O I：

10.32604/cmes.2023.025804

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a 6-layer customized convolutional neural network model (6L-CNN) to rapidly screen out patients with COVID-19 infection in chest CT images. This model can effectively detect whether the target CT image contains images of pneumonia lesions. In this method, 6L-CNN was trained as a binary classifier using the dataset containing CT images of the lung with and without pneumonia as a sample. The results show that the model improves the accuracy of screening out COVID-19 patients. Compared to other methods, the performance is better. In addition, the method can be extended to other similar clinical conditions.

引用

页码：2595 / 2616

页数：22

共 49 条

[1] Distress symptoms during the COVID-19 lockdown: A study with the general population of the United Arab Emirates [J].

Abduelkarem, Abduelmula R. ;

Samorinha, Catarina ;

Sharif, Suleiman, I ;

Hamrouni, Amar M. ;

Hassanein, Mohammed M. .

PHARMACY PRACTICE-GRANADA, 2022, 20 (02)

[2] From COVID-19 or because COVID-19? [J].

Actis Dato, Guglielmo M. .

JOURNAL OF CARDIAC SURGERY, 2021, 36 (09) :3317-3318

[3]

Behera S, 2022, J ENG SCI TECHNOL, V17, P1845

[4]

Bodyanskiy Y., 2022, SYSTEM RES INFORM TE, V2022, P87, DOI [DOI 10.20535/SRIT.2308-8893.2022.1.07, 10.20535/SRIT.2308-8893.2022.1.07]

[5] The Lancet Global Health Commission on Global Eye Health: vision beyond 2020 [J].

Burton, Matthew J. ;

Ramke, Jacqueline ;

Marques, Ana Patricia ;

Bourne, Rupert R. A. ;

Congdon, Nathan ;

Jones, Iain ;

Tong, Brandon A. M. Ah ;

Arunga, Simon ;

Bachani, Damodar ;

Bascaran, Covadonga ;

Bastawrous, Andrew ;

Blanchet, Karl ;

Braithwaite, Tasanee ;

Buchan, John C. ;

Cairns, John ;

Cama, Anasaini ;

Chagunda, Margarida ;

Chuluunkhuu, Chimgee ;

Cooper, Andrew ;

Crofts-Lawrence, Jessica ;

Dean, William H. ;

Denniston, Alastair K. ;

Ehrlich, Joshua R. ;

Emerson, Paul M. ;

Evans, Jennifer R. ;

Frick, Kevin D. ;

Friedman, David S. ;

Furtado, Joao M. ;

Gichangi, Michael M. ;

Gichuhi, Stephen ;

Gilbert, Suzanne S. ;

Gurung, Reeta ;

Habtamu, Esmael ;

Holland, Peter ;

Jonas, Jost B. ;

Keane, Pearse A. ;

Keay, Lisa ;

Khanna, Rohit C. ;

Khaw, Peng Tee ;

Kuper, Hannah ;

Kyari, Fatima ;

Lansingh, Van C. ;

Mactaggart, Islay ;

Mafwiri, Milka M. ;

Mathenge, Wanjiku ;

McCormick, Ian ;

Morjaria, Priya ;

Mowatt, Lizette ;

Muirhead, Debbie ;

Murthy, Gudlavalleti V. S. .

LANCET GLOBAL HEALTH, 2021, 9 (04) :E489-E551

[6] CORRELATIONS BETWEEN VIRAL LOAD AND SYMPTOMS IN PATIENTS WITH COVID-19 PNEUMONIA [J].

Capitelli, L. ;

Bocchino, M. ;

Giacon, V. ;

Candia, C. ;

Tafuro, F. ;

De Blasio, F. ;

Zamparelli, A. Sanduzzi .

CHEST, 2022, 161 (06) :140A-140A

[7]

Charbuty B., 2021, J APPL SCI TECHNOL T, V2, P20, DOI DOI 10.38094/JASTT20165

[8] k-Nearest Neighbour Classifiers - A Tutorial [J].

Cunningham, Padraig ;

Delany, Sarah Jane .

ACM COMPUTING SURVEYS, 2021, 54 (06)

[9] Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis [J].

Das, Anupam .

MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (04) :5407-5441

[10] Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks [J].

de Beurs, Zoe L. ;

Vanderburg, Andrew ;

Shallue, Christopher J. ;

Dumusque, Xavier ;

Cameron, Andrew Collier ;

Leet, Christopher ;

Buchhave, Lars A. ;

Cosentino, Rosario ;

Ghedina, Adriano ;

Haywood, Raphaelle D. ;

Langellier, Nicholas ;

Latham, David W. ;

Lopez-Morales, Mercedes ;

Mayor, Michel ;

Micela, Giusi ;

Milbourne, Timothy W. ;

Mortier, Annelies ;

Molinari, Emilio ;

Pepe, Francesco ;

Phillips, David F. ;

Pinamonti, Matteo ;

Piotto, Giampaolo ;

Rice, Ken ;

Sasselov, Dimitar ;

Sozzetti, Alessandro ;

Udry, Stephane ;

Watson, Christopher A. .

ASTRONOMICAL JOURNAL, 2022, 164 (02)

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