366 related articles for article (PubMed ID: 33387306)
1. A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.
Rasheed J; Hameed AA; Djeddi C; Jamil A; Al-Turjman F
Interdiscip Sci; 2021 Mar; 13(1):103-117. PubMed ID: 33387306
[TBL] [Abstract][Full Text] [Related]
2. Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.
Majeed T; Rashid R; Ali D; Asaad A
Phys Eng Sci Med; 2020 Dec; 43(4):1289-1303. PubMed ID: 33025386
[TBL] [Abstract][Full Text] [Related]
3. Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.
Albadr MAA; Tiun S; Ayob M; Al-Dhief FT; Omar K; Hamzah FA
PLoS One; 2020; 15(12):e0242899. PubMed ID: 33320858
[TBL] [Abstract][Full Text] [Related]
4. Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.
Bayoudh K; Hamdaoui F; Mtibaa A
Phys Eng Sci Med; 2020 Dec; 43(4):1415-1431. PubMed ID: 33301073
[TBL] [Abstract][Full Text] [Related]
5. AI-driven deep convolutional neural networks for chest X-ray pathology identification.
Albahli S; Ahmad Hassan Yar GN
J Xray Sci Technol; 2022; 30(2):365-376. PubMed ID: 35068415
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images.
V J S; D JF
Comput Math Methods Med; 2021; 2021():9269173. PubMed ID: 34795794
[TBL] [Abstract][Full Text] [Related]
7. Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation.
Gulakala R; Markert B; Stoffel M
Comput Methods Programs Biomed; 2023 Feb; 229():107262. PubMed ID: 36463675
[TBL] [Abstract][Full Text] [Related]
8. Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.
Qi X; Brown LG; Foran DJ; Nosher J; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2021 Feb; 16(2):197-206. PubMed ID: 33420641
[TBL] [Abstract][Full Text] [Related]
9. Fast and Accurate Detection of COVID-19 Along With 14 Other Chest Pathologies Using a Multi-Level Classification: Algorithm Development and Validation Study.
Albahli S; Yar GNAH
J Med Internet Res; 2021 Feb; 23(2):e23693. PubMed ID: 33529154
[TBL] [Abstract][Full Text] [Related]
10. Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Heidari M; Mirniaharikandehei S; Khuzani AZ; Danala G; Qiu Y; Zheng B
Int J Med Inform; 2020 Dec; 144():104284. PubMed ID: 32992136
[TBL] [Abstract][Full Text] [Related]
11. Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison.
Sethy PK; Behera SK; Anitha K; Pandey C; Khan MR
J Xray Sci Technol; 2021; 29(2):197-210. PubMed ID: 33492267
[TBL] [Abstract][Full Text] [Related]
12. COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images.
Eshraghi MA; Ayatollahi A; Shokouhi SB
BMC Med Imaging; 2023 Jun; 23(1):83. PubMed ID: 37322450
[TBL] [Abstract][Full Text] [Related]
13. Deep Ensemble Model for Classification of Novel Coronavirus in Chest X-Ray Images.
Ahmad F; Farooq A; Ghani MU
Comput Intell Neurosci; 2021; 2021():8890226. PubMed ID: 33488691
[TBL] [Abstract][Full Text] [Related]
14. Generative adversarial network based data augmentation for CNN based detection of Covid-19.
Gulakala R; Markert B; Stoffel M
Sci Rep; 2022 Nov; 12(1):19186. PubMed ID: 36357530
[TBL] [Abstract][Full Text] [Related]
15. A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network.
J L G; Abraham B; M S S; Nair MS
Comput Biol Med; 2022 Feb; 141():105134. PubMed ID: 34971978
[TBL] [Abstract][Full Text] [Related]
16. StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.
Autee P; Bagwe S; Shah V; Srivastava K
Phys Eng Sci Med; 2020 Dec; 43(4):1399-1414. PubMed ID: 33275187
[TBL] [Abstract][Full Text] [Related]
17. Detection of COVID-19 from Chest X-Ray Images Using Convolutional Neural Networks.
Sekeroglu B; Ozsahin I
SLAS Technol; 2020 Dec; 25(6):553-565. PubMed ID: 32948098
[TBL] [Abstract][Full Text] [Related]
18. COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.
Zhang R; Guo Z; Sun Y; Lu Q; Xu Z; Yao Z; Duan M; Liu S; Ren Y; Huang L; Zhou F
Interdiscip Sci; 2020 Dec; 12(4):555-565. PubMed ID: 32959234
[TBL] [Abstract][Full Text] [Related]
19. Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.
Zhu Z; Xingming Z; Tao G; Dan T; Li J; Chen X; Li Y; Zhou Z; Zhang X; Zhou J; Chen D; Wen H; Cai H
Interdiscip Sci; 2021 Mar; 13(1):73-82. PubMed ID: 33565027
[TBL] [Abstract][Full Text] [Related]
20. SOM-LWL method for identification of COVID-19 on chest X-rays.
Osman AH; Aljahdali HM; Altarrazi SM; Ahmed A
PLoS One; 2021; 16(2):e0247176. PubMed ID: 33626053
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
