509 related articles for article (PubMed ID: 34971978)
1. 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]
2. Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.
Naseer A; Tamoor M; Azhar A
J Xray Sci Technol; 2022; 30(1):89-109. PubMed ID: 34842222
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization.
Mahmud T; Rahman MA; Fattah SA
Comput Biol Med; 2020 Jul; 122():103869. PubMed ID: 32658740
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A Cascade-SEME network for COVID-19 detection in chest x-ray images.
Lv D; Wang Y; Wang S; Zhang Q; Qi W; Li Y; Sun L
Med Phys; 2021 May; 48(5):2337-2353. PubMed ID: 33778966
[TBL] [Abstract][Full Text] [Related]
8. UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.
Widodo CS; Naba A; Mahasin MM; Yueniwati Y; Putranto TA; Patra PI
J Xray Sci Technol; 2022; 30(1):57-71. PubMed ID: 34864714
[TBL] [Abstract][Full Text] [Related]
9. CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.
Khan AI; Shah JL; Bhat MM
Comput Methods Programs Biomed; 2020 Nov; 196():105581. PubMed ID: 32534344
[TBL] [Abstract][Full Text] [Related]
10. CNN-RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images.
Kanjanasurat I; Tenghongsakul K; Purahong B; Lasakul A
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772394
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method.
Jia G; Lam HK; Xu Y
Comput Biol Med; 2021 Jul; 134():104425. PubMed ID: 33971427
[TBL] [Abstract][Full Text] [Related]
13. An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images.
Chakraborty S; Murali B; Mitra AK
Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206201
[TBL] [Abstract][Full Text] [Related]
14. A lightweight CNN-based network on COVID-19 detection using X-ray and CT images.
Huang ML; Liao YC
Comput Biol Med; 2022 Jul; 146():105604. PubMed ID: 35576824
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.
Polat Ç; Karaman O; Karaman C; Korkmaz G; Balcı MC; Kelek SE
J Xray Sci Technol; 2021; 29(1):19-36. PubMed ID: 33459685
[TBL] [Abstract][Full Text] [Related]
17. COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images.
Reis HC; Turk V
Artif Intell Med; 2022 Dec; 134():102427. PubMed ID: 36462906
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Explainable COVID-19 Detection Based on Chest X-rays Using an End-to-End RegNet Architecture.
Chetoui M; Akhloufi MA; Bouattane EM; Abdulnour J; Roux S; Bernard CD
Viruses; 2023 Jun; 15(6):. PubMed ID: 37376626
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
