251 related articles for article (PubMed ID: 35368832)
1. Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray images.
Aslan N; Ozmen Koca G; Kobat MA; Dogan S
Chemometr Intell Lab Syst; 2022 May; 224():104539. PubMed ID: 35368832
[TBL] [Abstract][Full Text] [Related]
2. An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning.
Ozyurt F; Tuncer T; Subasi A
Comput Biol Med; 2021 May; 132():104356. PubMed ID: 33799219
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases.
Ibrahim DM; Elshennawy NM; Sarhan AM
Comput Biol Med; 2021 May; 132():104348. PubMed ID: 33774272
[TBL] [Abstract][Full Text] [Related]
5. ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images.
Dhiman G; Chang V; Kant Singh K; Shankar A
J Biomol Struct Dyn; 2022 Aug; 40(13):5836-5847. PubMed ID: 33475019
[TBL] [Abstract][Full Text] [Related]
6. Deep learning approaches for COVID-19 detection based on chest X-ray images.
Ismael AM; Şengür A
Expert Syst Appl; 2021 Feb; 164():114054. PubMed ID: 33013005
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning.
Asif S; Wenhui Y; Amjad K; Jin H; Tao Y; Jinhai S
Expert Syst; 2022 Jul; ():. PubMed ID: 35945966
[TBL] [Abstract][Full Text] [Related]
10. Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies.
Rasheed J; Shubair RM
Healthcare (Basel); 2022 Jul; 10(7):. PubMed ID: 35885839
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks.
Yaşar H; Ceylan M
Multimed Syst; 2022 Jan; ():1-19. PubMed ID: 35125671
[TBL] [Abstract][Full Text] [Related]
13. Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images.
Barua PD; Muhammad Gowdh NF; Rahmat K; Ramli N; Ng WL; Chan WY; Kuluozturk M; Dogan S; Baygin M; Yaman O; Tuncer T; Wen T; Cheong KH; Acharya UR
Int J Environ Res Public Health; 2021 Jul; 18(15):. PubMed ID: 34360343
[TBL] [Abstract][Full Text] [Related]
14. An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image.
Tuncer T; Dogan S; Ozyurt F
Chemometr Intell Lab Syst; 2020 Aug; 203():104054. PubMed ID: 32427226
[TBL] [Abstract][Full Text] [Related]
15. An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network.
Baghdadi NA; Malki A; Abdelaliem SF; Magdy Balaha H; Badawy M; Elhosseini M
Comput Biol Med; 2022 May; 144():105383. PubMed ID: 35290811
[TBL] [Abstract][Full Text] [Related]
16. COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning.
Alam NA; Ahsan M; Based MA; Haider J; Kowalski M
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33672585
[TBL] [Abstract][Full Text] [Related]
17. SVM-RLF-DNN: A DNN with reliefF and SVM for automatic identification of COVID from chest X-ray and CT images.
Saha S; Nandi D
Digit Health; 2024; 10():20552076241257045. PubMed ID: 38812845
[TBL] [Abstract][Full Text] [Related]
18. Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity.
Abdulsalam Hamwi W; Almustafa MM
Inform Med Unlocked; 2022; 32():101004. PubMed ID: 35822170
[TBL] [Abstract][Full Text] [Related]
19. Classifying COVID-19 and Viral Pneumonia Lung Infections through Deep Convolutional Neural Network Model using Chest X-Ray Images.
Verma DK; Saxena G; Paraye A; Rajan A; Rawat A; Verma RK
J Med Phys; 2022; 47(1):57-64. PubMed ID: 35548026
[TBL] [Abstract][Full Text] [Related]
20. Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images.
Alhudhaif A; Polat K; Karaman O
Expert Syst Appl; 2021 Oct; 180():115141. PubMed ID: 33967405
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]