An automated system to distinguish between Corona and Viral Pneumonia chest diseases based on image processing techniques

References

• Abbas A, Abdelsamea MM, Medhat GM. 2021. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Appl Intell. 51(2):854–864. doi: 10.1007/s10489-020-01829-7.
   PubMed Web of Science ®Google Scholar
• Adel E, Elmogy M, Elbakry H. 2014. Image stitching based on feature extraction techniques: a survey. Inter J Com Appl. 99(6):1–8. doi: 10.5120/17374-7818.
   Google Scholar
• Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A. 2020. Covid-caps: a capsule network-based framework for identification of COVID-19 cases from x-ray images. Patt Recog Lettrs. 138:638–643.‏. doi:10.1016/j.patrec.2020.09.010.
   PubMed Web of Science ®Google Scholar
• Alasadi AA, Aldhayni TH, Deshmukh RR, Alahmadi AH, Alshebami AS. 2020. Efficient feature extraction algorithms to develop an Arabic speech recognition system. Eng Technol Appl Sci Res. 10(2):5547–5553. doi: 10.48084/etasr.3465.
   Web of Science ®Google Scholar
• Albahli S. 2021. A deep neural network to distinguish COVID-19 from other chest diseases using x-ray images. Curr Med Imag Revs. 17(1):109–119. doi: 10.2174/18756603MTA3nMTAc5.
   Web of Science ®Google Scholar
• Al-Ghraibah A, Algharibeh M, Al-Muhtaseb W, Al-Khateeb F, Al-Anis I 2020. Investigating the significance of New features extracted from long bones X-ray images. Proceedings of the 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME); Irbid, Jordan. p. 1–6. IEEE.
   Google Scholar
• Alquran H, Alsleti M, Alsharif R, Qasmieh IA, Alqudah AM, Harun NHB. 2021. Employing texture features of chest X-Ray images and machine learning in COVID-19 detection and classification. MENDEL. 27(1):9–17. doi: 10.13164/mendel.2021.1.009.
   Google Scholar
• Altayeb M, Al-Ghraibah A. 2022. Classification of three pathological voices based on specific features groups using support vector machine. Inter J Electr Comp Eng. 12(1):946–956. doi: 10.11591/ijece.v12i1.pp946-956.
   Google Scholar
• Apostolopoulos D, Mpesiana T. 2020. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med. 43(2):635–640. doi: 10.1007/s13246-020-00865-4.
   PubMedGoogle Scholar
• Asadollahfardi G. 2015. Artificial neural network. Water Qual Manag Assess Interp. 3(1):77–91.
   Google Scholar
• Aswini N, Uma SV. 2019. Obstacle avoidance and distance measurement for unmanned aerial vehicles using monocular vision. Inter J Of Elec And Com Eng. 9(5):3504. doi: 10.11591/ijece.v9i5.pp3504-3511.
   Google Scholar
• Benlakhdar S, Rziza M, Thami R.O.H. 2020. A robust model using SIFT and gamma mixture model for texture images classification: perspectives for medical applications. Biomed and Pharmacol J. 13(4):1659–1669.
   Google Scholar
• Cabral FS, Fukai H, Tamura S. 2019. Feature extraction methods proposed for speech recognition are effective on road condition monitoring using smartphone inertial sensors. Sensors. 19(16):3481. doi: 10.3390/s19163481.
   PubMed Web of Science ®Google Scholar
• Chowdhury ME, Rahman T, Khandakar A, Mazhar R, Kadir MA, Mahbub ZB, Islam KR, Khan MS, Iqbal A, Al Emadi N, et al. 2020. Can AI help in screening viral and COVID-19 pneumonia? IEEE Access. 8:132665–132676. doi:10.1109/ACCESS.2020.3010287.
   Web of Science ®Google Scholar
• Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, Bleicker T, Brünink S, Schneider J, Schmidt ML, et al. 2020. Detection of 2019 novel coronavirus (2019-nCov) by real-time RT-PCR. Eurosurveillance. 25(3):2000045. doi: 10.2807/1560-7917.ES.2020.25.3.2000045.
   Web of Science ®Google Scholar
• Dubey S, Meena R. 2021. A review of face recognition using SIFT feature extraction. IOSR J. VLSI Signal Process. 5(2): 31–35.
   Google Scholar
• Duran-Lopez L, Dominguez-Morales JP, Corral-Jaime J, Vicente-Diaz S, Linares-Barranco A. 2020. COVID-XNet: a custom deep learning system to diagnose and locate COVID-19 in chest X-ray images. Appl Sci. 10(16):5683. doi: 10.3390/app10165683.
   Google Scholar
• Gonzalez RC, Woods RE. 2018. Digital image processing. New York (NY): Pearson.
   Google Scholar
• Grzywalski T, Maciaszek A, Biniakowski A, Orwat J, Drgas S, Piecuch M, Belluzzo R, Joachimiak K, Niemiec D, Ptaszynski J. 2018. Parameterization of sequence of MFCCs for DNN-based voice disorder detection. Proceedings of the 2018 IEEE International Conference on Big Data (big data); Seattle, WA, USA. p. 5247–5251. IEEE.
   Google Scholar
• Guo H, Chen X, Su C, Liu Y, Wang H, Sun C, Chen P, Jiang M, Xu Y, Wu S, et al. 2020. Challenges and countermeasures of thoracic oncology in the epidemic of COVID-19. Trans Lung Can Res. 9(2):337. doi: 10.21037/tlcr.2020.02.10.
   PubMed Web of Science ®Google Scholar
• Gupta S, Jaafar J, Wan Ahmad WF, Bansal A. 2013. Feature extraction using mfcc. Signal image process. An Int J. 4(4):101–108. doi: 10.5121/sipij.2013.4408.
   Google Scholar
• Helali W, Hajaiej Ζ, Cherif A. 2020. Real time speech recognition based on PWP thresholding and MFCC using SVM. Eng Technol Appl Sci Res. 10(5):6204–6208. doi: 10.48084/etasr.3759.
   Web of Science ®Google Scholar
• Hui DS, Azhar EI, Memish ZA, Zumla A. 2020. Human coronavirus infections—severe acute respiratory syndrome (SARS), middle East respiratory syndrome (MERS), and SARS-CoV-2. Encyclo Resp Med. 2022:146.
   Google Scholar
• Hussain E, Hasan M, Rahman MA, Lee I, Tamanna T, Parvez MZ. 2021. CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images. Chaos, Solits Fracs. 142:110495. doi:10.1016/j.chaos.2020.110495.
   PubMed Web of Science ®Google Scholar
• Islam MM, Islam MZ, Asraf A, Al-Rakhami MS, Ding W, Sodhro AH. 2023. Diagnosis of COVID-19 from X-rays using combined CNN-RNN architecture with transfer learning. BenchCouncil Trans Bench, Stands And Evals. 2(4):100088. doi: 10.1016/j.tbench.2023.100088.
   Google Scholar
• Liu L, Ozsu MT. 2009. Encyclopedia of database systems. New York: Springer US. doi: 10.1007/978-0-387-39940-9.
   Google Scholar
• Owida HA, Al-Ghraibah A, Altayeb M. 2021. Classification of chest X-Ray images using Wavelet and MFCC features and support vector machine classifier. Eng Technol Appl Sci Res. 11(4):7296–7301. doi: 10.48084/etasr.4123.
   Web of Science ®Google Scholar
• Rahman T, Khandakar A, Qiblawey Y, Tahir A, Kiranyaz S, Kashem SB, Islam MT, Al Maadeed S, Zughaier SM, Khan MS, et al. 2021. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comps Bio Med. 132:104319. doi:10.1016/j.compbiomed.2021.104319.
   PubMed Web of Science ®Google Scholar
• Ruuskanen O, Lahti E, Jennings LC, Murdoch DR. 2011. Viral Pneumonia. Lancet. 377(9773):1264–1275. doi: 10.1016/S0140-6736(10)61459-6.
   PubMed Web of Science ®Google Scholar
• Sakib S, Tazrin T, Fouda MM, Fadlullah ZM, Guizani M. 2020. DL-CRC: deep learning-based chest radiograph classification for COVID-19 detection: a novel approach. IEEE Access. 8:171575–171589. doi:10.1109/ACCESS.2020.3025010.
   PubMedGoogle Scholar
• Sethy PK, Behera SK, Ratha PK, Biswas P. 2020. Detection of coronavirus disease (COVID-19) based on deep features and support vector machine. Int J Math Eng, Manag Sci. Aug 5(4):643–651. 10.33889/IJMEMS.2020.5.4.052
   Web of Science ®Google Scholar
• Shi F, Wang J, Shi J, Wu Z, Wang Q, Tang Z, He K, Shi Y, Shen D. 2020. Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19. IEEE Revs Biomed Eng. 14:4–15. doi:10.1109/RBME.2020.2987975.
   Google Scholar
• Tharwat A. 2021. Classification assessment methods. Appl computi inf. 7(1):168–192. doi: 10.1016/j.aci.2018.08.003.
   Google Scholar
• Wang L, Lin ZQ, Wong A. 2020. Covid-net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest x-ray images. Sci Rep. 10(1):1–2. doi: 10.1038/s41598-020-76550-z.
   PubMed Web of Science ®Google Scholar
• Zhang Y, Satapathy SC, Zhu LY, Górriz JM, Wang S. 2022. A seven-layer convolutional neural network for chest CT-Based COVID-19 diagnosis using stochastic pooling. IEEE Sensors J. 22(18):17573–17582. doi: 10.1109/JSEN.2020.3025855.
   PubMed Web of Science ®Google Scholar