361 related articles for article (PubMed ID: 33125051)
21. 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]
22. COVID-19 detection using chest X-ray images based on a developed deep neural network.
Mousavi Z; Shahini N; Sheykhivand S; Mojtahedi S; Arshadi A
SLAS Technol; 2022 Feb; 27(1):63-75. PubMed ID: 35058196
[TBL] [Abstract][Full Text] [Related]
23. Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs.
Rajaraman S; Sornapudi S; Alderson PO; Folio LR; Antani SK
PLoS One; 2020; 15(11):e0242301. PubMed ID: 33180877
[TBL] [Abstract][Full Text] [Related]
24. INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network.
Perumal M; Nayak A; Sree RP; Srinivas M
ISA Trans; 2022 May; 124():82-89. PubMed ID: 35300854
[TBL] [Abstract][Full Text] [Related]
25. COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases.
Vantaggiato E; Paladini E; Bougourzi F; Distante C; Hadid A; Taleb-Ahmed A
Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33802428
[TBL] [Abstract][Full Text] [Related]
26. Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images.
Yamac M; Ahishali M; Degerli A; Kiranyaz S; Chowdhury MEH; Gabbouj M
IEEE Trans Neural Netw Learn Syst; 2021 May; 32(5):1810-1820. PubMed ID: 33872157
[TBL] [Abstract][Full Text] [Related]
27. DON: Deep Learning and Optimization-Based Framework for Detection of Novel Coronavirus Disease Using X-ray Images.
Dhiman G; Vinoth Kumar V; Kaur A; Sharma A
Interdiscip Sci; 2021 Jun; 13(2):260-272. PubMed ID: 33587262
[TBL] [Abstract][Full Text] [Related]
28. Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.
Dey S; Bhattacharya R; Malakar S; Mirjalili S; Sarkar R
Comput Biol Med; 2021 Aug; 135():104585. PubMed ID: 34229144
[TBL] [Abstract][Full Text] [Related]
29. A Deep Neural Network to Distinguish COVID-19 from other Chest Diseases Using X-ray Images.
Albahli S
Curr Med Imaging; 2021; 17(1):109-119. PubMed ID: 32496988
[TBL] [Abstract][Full Text] [Related]
30. Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease.
Senan EM; Alzahrani A; Alzahrani MY; Alsharif N; Aldhyani THH
Comput Math Methods Med; 2021; 2021():6919483. PubMed ID: 34721659
[TBL] [Abstract][Full Text] [Related]
31. SVD-CLAHE boosting and balanced loss function for Covid-19 detection from an imbalanced Chest X-Ray dataset.
Roy S; Tyagi M; Bansal V; Jain V
Comput Biol Med; 2022 Nov; 150():106092. PubMed ID: 36208598
[TBL] [Abstract][Full Text] [Related]
32. Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases.
Maior CBS; Santana JMM; Lins ID; Moura MJC
PLoS One; 2021; 16(3):e0247839. PubMed ID: 33647062
[TBL] [Abstract][Full Text] [Related]
33. DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.
Quan H; Xu X; Zheng T; Li Z; Zhao M; Cui X
Comput Biol Med; 2021 Jun; 133():104399. PubMed ID: 33892307
[TBL] [Abstract][Full Text] [Related]
34. An Efficient Method for Coronavirus Detection Through X-rays Using Deep Neural Network.
Rao PS; Bheemavarapu P; Kalyampudi PSL; Rao TVM
Curr Med Imaging; 2022; 18(6):587-592. PubMed ID: 33438544
[TBL] [Abstract][Full Text] [Related]
35. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.
Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211
[TBL] [Abstract][Full Text] [Related]
36. Explainable DCNN based chest X-ray image analysis and classification for COVID-19 pneumonia detection.
Hou J; Gao T
Sci Rep; 2021 Aug; 11(1):16071. PubMed ID: 34373554
[TBL] [Abstract][Full Text] [Related]
37. Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.
Srivastava G; Pradhan N; Saini Y
Comput Biol Med; 2022 Oct; 149():105979. PubMed ID: 36063689
[TBL] [Abstract][Full Text] [Related]
38. Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model.
Ali S; Hussain A; Bhattacharjee S; Athar A; Abdullah ; Kim HC
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560352
[TBL] [Abstract][Full Text] [Related]
39. Deep-learning based detection of COVID-19 using lung ultrasound imagery.
Diaz-Escobar J; Ordóñez-Guillén NE; Villarreal-Reyes S; Galaviz-Mosqueda A; Kober V; Rivera-Rodriguez R; Lozano Rizk JE
PLoS One; 2021; 16(8):e0255886. PubMed ID: 34388187
[TBL] [Abstract][Full Text] [Related]
40. Automated detection of COVID-19 through convolutional neural network using chest x-ray images.
Sarki R; Ahmed K; Wang H; Zhang Y; Wang K
PLoS One; 2022; 17(1):e0262052. PubMed ID: 35061767
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]