213 related articles for article (PubMed ID: 32462314)
1. Deep learning COVID-19 detection bias: accuracy through artificial intelligence.
Vaid S; Kalantar R; Bhandari M
Int Orthop; 2020 Aug; 44(8):1539-1542. PubMed ID: 32462314
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.
Apostolopoulos ID; Mpesiana TA
Phys Eng Sci Med; 2020 Jun; 43(2):635-640. PubMed ID: 32524445
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Ardakani AA; Kanafi AR; Acharya UR; Khadem N; Mohammadi A
Comput Biol Med; 2020 Jun; 121():103795. PubMed ID: 32568676
[TBL] [Abstract][Full Text] [Related]
6. Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.
Minaee S; Kafieh R; Sonka M; Yazdani S; Jamalipour Soufi G
Med Image Anal; 2020 Oct; 65():101794. PubMed ID: 32781377
[TBL] [Abstract][Full Text] [Related]
7. Thoracic imaging tests for the diagnosis of COVID-19.
Salameh JP; Leeflang MM; Hooft L; Islam N; McGrath TA; van der Pol CB; Frank RA; Prager R; Hare SS; Dennie C; Spijker R; Deeks JJ; Dinnes J; Jenniskens K; Korevaar DA; Cohen JF; Van den Bruel A; Takwoingi Y; van de Wijgert J; Damen JA; Wang J; ; McInnes MD
Cochrane Database Syst Rev; 2020 Sep; 9():CD013639. PubMed ID: 32997361
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.
Wang X; Deng X; Fu Q; Zhou Q; Feng J; Ma H; Liu W; Zheng C
IEEE Trans Med Imaging; 2020 Aug; 39(8):2615-2625. PubMed ID: 33156775
[TBL] [Abstract][Full Text] [Related]
11. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Jin C; Chen W; Cao Y; Xu Z; Tan Z; Zhang X; Deng L; Zheng C; Zhou J; Shi H; Feng J
Nat Commun; 2020 Oct; 11(1):5088. PubMed ID: 33037212
[TBL] [Abstract][Full Text] [Related]
12. Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays.
Brunese L; Mercaldo F; Reginelli A; Santone A
Comput Methods Programs Biomed; 2020 Nov; 196():105608. PubMed ID: 32599338
[TBL] [Abstract][Full Text] [Related]
13. Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes.
Abdulaal A; Patel A; Charani E; Denny S; Alqahtani SA; Davies GW; Mughal N; Moore LSP
BMC Med Inform Decis Mak; 2020 Nov; 20(1):299. PubMed ID: 33213435
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images.
Ucar F; Korkmaz D
Med Hypotheses; 2020 Jul; 140():109761. PubMed ID: 32344309
[TBL] [Abstract][Full Text] [Related]
18. Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections.
Sedik A; Iliyasu AM; Abd El-Rahiem B; Abdel Samea ME; Abdel-Raheem A; Hammad M; Peng J; Abd El-Samie FE; Abd El-Latif AA
Viruses; 2020 Jul; 12(7):. PubMed ID: 32708803
[TBL] [Abstract][Full Text] [Related]
19. Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs.
Zhu J; Shen B; Abbasi A; Hoshmand-Kochi M; Li H; Duong TQ
PLoS One; 2020; 15(7):e0236621. PubMed ID: 32722697
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]