Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays

被引：2

作者：

Antunes, Carlos ^{[1
]}

Rodrigues, Joao M. F. ^{[2
,3
]}

Cunha, Antonio ^{[1
,4
]}

机构：

[1] Univ Tras Os Montes & Alto Douro, Vila Real, Portugal

[2] Univ Algarve, NOVA LINCS, Faro, Portugal

[3] Univ Algarve, ISE, Faro, Portugal

[4] Inst Syst & Comp Engn, Technol, Porto, Portugal

来源：

UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION, PT III, UAHCI 2024 | 2024年 / 14698卷

关键词：

Web Diagnosis Application; COVID-19; Pneumonia; CONVOLUTIONAL NEURAL-NETWORK; ENSEMBLE;

D O I：

10.1007/978-3-031-60884-1_14

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Pneumonia and COVID-19 are respiratory illnesses, the last caused by the severe acute respiratory syndrome virus, coronavirus 2 (SARS-CoV-2). Traditional detection processes can be slow, prone to errors, and laborious, leading to potential human mistakes and a limited ability to keep up with the speed of pathogen development. A web diagnosis application to aid the physician in the diagnosis process is presented, based on a modified deep neural network (AlexNet) to detect COVID-19 on X-rays and computed tomography (CT) scans as well as to detect pneumonia on X-rays. The system reached accuracy results well above 90% in seven well-known and documented datasets regarding the detection of COVID-19 and Pneumonia on X-rays and COVID-19 in CT scans.

引用

页码：203 / 221

页数：19

共 50 条

[41] Contribution of artificial intelligence applications developed with the deep learning method to the diagnosis of COVID-19 pneumonia on computed tomography [J].

Aydin, Nevin ;

Celik, Ozer .

TUBERKULOZ VE TORAKS-TUBERCULOSIS AND THORAX, 2021, 69 (04) :486-491

[42] Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays [J].

Anilkumar, B. ;

Srividya, K. ;

Sowjanya, A. Mary .

MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (08) :12513-12536

[43] Deep Learning for Covid-19 Screening Using Chest X-Rays in 2020: A Systematic Review [J].

Santosh, K. C. ;

Ghosh, Supriti ;

GhoshRoy, Debasmita .

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 36 (05)

[44] Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis [J].

Biswas, Milon ;

Gaur, Loveleen ;

Alenezi, Fayadh ;

Santosh, K. C. ;

Mahbub, Md. Kawsher .

INFORMATION SCIENCES, 2022, 592 :389-401

[45] Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays [J].

B Anilkumar ;

K Srividya ;

A Mary Sowjanya .

Multimedia Tools and Applications, 2023, 82 :12513-12536

[46] DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays [J].

Mamalakis, Michail ;

Swift, Andrew J. ;

Vorselaars, Bart ;

Ray, Surajit ;

Weeks, Simonne ;

Ding, Weiping ;

Clayton, Richard H. ;

Mackenzie, Louise S. ;

Banerjee, Abhirup .

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2021, 94

[47] Role of computed tomography in COVID-19 [J].

Pontone, Gianluca ;

Scafuri, Stefano ;

Mancini, Maria Elisabetta ;

Agalbato, Cecilia ;

Guglielmo, Marco ;

Baggiano, Andrea ;

Muscogiuri, Giuseppe ;

Fusini, Laura ;

Andreini, Daniele ;

Mushtaq, Saima ;

Conte, Edoardo ;

Annoni, Andrea ;

Formenti, Alberto ;

Gennari, Antonio Giulio ;

Guaricci, Andrea I. ;

Rabbat, Mark R. ;

Pompilio, Giulio ;

Pepi, Mauro ;

Rossi, Alexia .

JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2021, 15 (01) :27-36

[48] Prediction of COVID-19 Cases Using CNN with X-rays [J].

Haritha, D. ;

Swaroop, N. ;

Mounika, M. .

PROCEEDINGS OF THE 2020 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND SECURITY (ICCCS-2020), 2020,

[49] A Deep Learning Framework for COVID-19 Diagnosis from Computed Tomography [J].

Mansouri, Nabila ;

Sultan, Khalid ;

Ahmad, Aakash ;

Alseadoon, Ibrahim ;

Alkhalil, Adal .

INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 34 (02) :1247-1264

[50] Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays [J].

Wang, Zheng ;

Xiao, Ying ;

Li, Yong ;

Zhang, Jie ;

Lu, Fanggen ;

Hou, Muzhou ;

Liu, Xiaowei .

PATTERN RECOGNITION, 2021, 110 (110)

← 1 2 3 4 5 →