1134 related articles for article (PubMed ID: 36462906)
21. 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]
22. Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling.
Zhang HT; Sun ZY; Zhou J; Gao S; Dong JH; Liu Y; Bai X; Ma JL; Li M; Li G; Cai JM; Sheng FG
Front Cell Infect Microbiol; 2023; 13():1116285. PubMed ID: 36936770
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. 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]
26. 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]
27. 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]
28. 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]
29. 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]
30. 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]
31. D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.
Wang X; Hu Y; Luo Y; Wang W
Comput Intell Neurosci; 2021; 2021():9952109. PubMed ID: 34925500
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. 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]
34. Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.
Singh D; Kumar V; Vaishali ; Kaur M
Eur J Clin Microbiol Infect Dis; 2020 Jul; 39(7):1379-1389. PubMed ID: 32337662
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.
Gopatoti A; Vijayalakshmi P
J Xray Sci Technol; 2022; 30(3):491-512. PubMed ID: 35213339
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network.
Kumar A; Tripathi AR; Satapathy SC; Zhang YD
Pattern Recognit; 2022 Feb; 122():108255. PubMed ID: 34456369
[TBL] [Abstract][Full Text] [Related]
39. [Research on coronavirus disease 2019 (COVID-19) detection method based on depthwise separable DenseNet in chest X-ray images].
Feng Y; Qiu D; Cao H; Zhang J; Xin Z; Liu J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Aug; 37(4):557-565. PubMed ID: 32840070
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]