163 related articles for article (PubMed ID: 33392388)
21. A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.
Liu X; Wu W; Chun-Wei Lin J; Liu S
Curr Med Imaging; 2023; 19(4):333-346. PubMed ID: 35692156
[TBL] [Abstract][Full Text] [Related]
22. COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block.
Tangudu VSK; Kakarla J; Venkateswarlu IB
Soft comput; 2022; 26(5):2197-2208. PubMed ID: 35106060
[TBL] [Abstract][Full Text] [Related]
23. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Ahamed KU; Islam M; Uddin A; Akhter A; Paul BK; Yousuf MA; Uddin S; Quinn JMW; Moni MA
Comput Biol Med; 2021 Dec; 139():105014. PubMed ID: 34781234
[TBL] [Abstract][Full Text] [Related]
24. CNGOD-An improved convolution neural network with grasshopper optimization for detection of COVID-19.
Singh A; Singh KK; Greguš M; Izonin I
Math Biosci Eng; 2022 Aug; 19(12):12518-12531. PubMed ID: 36654009
[TBL] [Abstract][Full Text] [Related]
25. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
Rahman T; Khandakar A; Qiblawey Y; Tahir A; Kiranyaz S; Abul Kashem SB; Islam MT; Al Maadeed S; Zughaier SM; Khan MS; Chowdhury MEH
Comput Biol Med; 2021 May; 132():104319. PubMed ID: 33799220
[TBL] [Abstract][Full Text] [Related]
26. Automatic prediction of COVID- 19 from chest images using modified ResNet50.
Elpeltagy M; Sallam H
Multimed Tools Appl; 2021; 80(17):26451-26463. PubMed ID: 33967592
[TBL] [Abstract][Full Text] [Related]
27. Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images.
Reddy BB; Sudhakar MV; Reddy PR; Reddy PR
Multimed Syst; 2023 Apr; ():1-27. PubMed ID: 37360153
[TBL] [Abstract][Full Text] [Related]
28. Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Ozturk T; Talo M; Yildirim EA; Baloglu UB; Yildirim O; Rajendra Acharya U
Comput Biol Med; 2020 Jun; 121():103792. PubMed ID: 32568675
[TBL] [Abstract][Full Text] [Related]
29. COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
Poola RG; Pl L; Y SS
Results Eng; 2023 Jun; 18():101020. PubMed ID: 36945336
[TBL] [Abstract][Full Text] [Related]
30. A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.
Kumar S; Chaube MK; Alsamhi SH; Gupta SK; Guizani M; Gravina R; Fortino G
Comput Methods Programs Biomed; 2022 Nov; 226():107109. PubMed ID: 36174422
[TBL] [Abstract][Full Text] [Related]
31. A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images.
Panwar H; Gupta PK; Siddiqui MK; Morales-Menendez R; Bhardwaj P; Singh V
Chaos Solitons Fractals; 2020 Nov; 140():110190. PubMed ID: 32836918
[TBL] [Abstract][Full Text] [Related]
32. AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images.
Soundrapandiyan R; Naidu H; Karuppiah M; Maheswari M; Poonia RC
Comput Electr Eng; 2023 May; 108():108711. PubMed ID: 37065503
[TBL] [Abstract][Full Text] [Related]
33. Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays.
Paul A; Basu A; Mahmud M; Kaiser MS; Sarkar R
Neural Comput Appl; 2022 Jan; ():1-15. PubMed ID: 35013650
[TBL] [Abstract][Full Text] [Related]
34. A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images.
Joshi RC; Yadav S; Pathak VK; Malhotra HS; Khokhar HVS; Parihar A; Kohli N; Himanshu D; Garg RK; Bhatt MLB; Kumar R; Singh NP; Sardana V; Burget R; Alippi C; Travieso-Gonzalez CM; Dutta MK
Biocybern Biomed Eng; 2021; 41(1):239-254. PubMed ID: 33518878
[TBL] [Abstract][Full Text] [Related]
35. Recognizing COVID-19 from chest X-ray images for people in rural and remote areas based on deep transfer learning model.
Qjidaa M; Ben-Fares A; Amakdouf H; El Mallahi M; Alami BE; Maaroufi M; Lakhssassi A; Qjidaa H
Multimed Tools Appl; 2022; 81(9):13115-13135. PubMed ID: 35221780
[TBL] [Abstract][Full Text] [Related]
36. Concat_CNN: A Model to Detect COVID-19 from Chest X-ray Images with Deep Learning.
Saha P; Neogy S
SN Comput Sci; 2022; 3(4):305. PubMed ID: 35647557
[TBL] [Abstract][Full Text] [Related]
37. COVID-19 detection in CT and CXR images using deep learning models.
Chouat I; Echtioui A; Khemakhem R; Zouch W; Ghorbel M; Hamida AB
Biogerontology; 2022 Feb; 23(1):65-84. PubMed ID: 35064446
[TBL] [Abstract][Full Text] [Related]
38. Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.
Albahli S; Albattah W
J Xray Sci Technol; 2020; 28(5):841-850. PubMed ID: 32804113
[TBL] [Abstract][Full Text] [Related]
39. COVID-19 Detection using Hybrid CNN-RNN Architecture with Transfer Learning from X-Rays.
Deshwal D; Sangwan P; Dahiya N; Lilhore UK; Dalal S; Simaiya S
Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37594157
[TBL] [Abstract][Full Text] [Related]
40. Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation.
Phumkuea T; Wongsirichot T; Damkliang K; Navasakulpong A
JMIR Form Res; 2023 Feb; 7():e42324. PubMed ID: 36780315
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
